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2.4-1mamba
festival/festival-1.96-speechtools-1.2.96-beta+awb.patch

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text2wave,saytime: fix %_builddir references in scripts [release 2.1-2mamba;Wed Jul 17 2013]
2024-01-05 22:14:41 +01:00
diff -ur festival/speech_tools.old/grammar/ngram/EST_Ngrammar.cc festival/speech_tools/grammar/ngram/EST_Ngrammar.cc
--- speech_tools.old/grammar/ngram/EST_Ngrammar.cc 2004-09-30 08:53:36.000000000 -0400
+++ speech_tools/grammar/ngram/EST_Ngrammar.cc 2006-12-11 17:36:10.000000000 -0500
@@ -306,7 +306,7 @@
// not right - just print out, then recurse through children
// change to use 'backoff_traverse'
- int k;
+ EST_Litem *k;
double freq;
EST_String name;
for (k=p_pdf.item_start();
@@ -373,7 +373,7 @@
{
// recursively delete this state and all its children
- int k;
+ EST_Litem *k;
double freq;
EST_String name;
for (k=p_pdf.item_start();
@@ -456,7 +456,8 @@
void EST_BackoffNgrammarState::frequency_of_frequencies(EST_DVector &ff)
{
- int k,max=ff.n();
+ int max=ff.n();
+ EST_Litem *k;
double freq;
EST_String name;
for (k=p_pdf.item_start();
@@ -1585,7 +1586,7 @@
// remove any branches with zero frequency count
// find children of this state with zero freq and zap them
- int k;
+ EST_Litem *k;
double freq;
EST_String name;
for (k=start_state->pdf_const().item_start();
@@ -2324,7 +2325,8 @@
backoff_representation->print_freqs(os,p_order);
else
{
- int i,j,k;
+ int i,j;
+ EST_Litem *k;
EST_IVector window(p_order-1);
for (i=0; i < p_num_states; i++)
@@ -2665,7 +2667,7 @@
function(start_state,params);
// and recurse down the tree
- int k;
+ EST_Litem *k;
double freq;
EST_String name;
for (k=start_state->pdf_const().item_start();
@@ -2696,7 +2698,7 @@
{
// and recurse down the tree if we haven't
// reached the level yet
- int k;
+ EST_Litem *k;
double freq;
EST_String name;
diff -ur festival/speech_tools.old/grammar/ngram/EST_PST.cc festival/speech_tools/grammar/ngram/EST_PST.cc
--- speech_tools.old/grammar/ngram/EST_PST.cc 2004-09-30 08:53:36.000000000 -0400
+++ speech_tools/grammar/ngram/EST_PST.cc 2006-12-11 17:36:10.000000000 -0500
@@ -71,7 +71,8 @@
// Base -- print from pd
EST_String s;
double freq;
- for (int i = pd.item_start();
+ EST_Litem *i;
+ for (i = pd.item_start();
!pd.item_end(i);
i=pd.item_next(i))
{
@@ -98,7 +99,7 @@
EST_String s;
double prob;
os << get_path() << " :";
- for (int i = pd.item_start(); !pd.item_end(i) ; i=pd.item_next(i))
+ for (EST_Litem *i = pd.item_start(); !pd.item_end(i) ; i=pd.item_next(i))
{
pd.item_prob(i,s,prob);
os << " " << s << " " << prob;
diff -ur festival/speech_tools.old/grammar/ngram/freqsmooth.cc festival/speech_tools/grammar/ngram/freqsmooth.cc
--- speech_tools.old/grammar/ngram/freqsmooth.cc 2004-09-30 08:53:36.000000000 -0400
+++ speech_tools/grammar/ngram/freqsmooth.cc 2006-12-11 17:36:10.000000000 -0500
@@ -74,7 +74,8 @@
EST_Ngrammar &ngram)
{
// Build all the backoff grammars back to uni-grams
- int i,j,k,l;
+ int i,j,l;
+ EST_Litem *k;
for (i=0; i < ngram.order()-1; i++)
backoff_ngrams[i].init(i+1,EST_Ngrammar::dense,
@@ -110,7 +111,8 @@
{
// For all ngrams which are too infrequent, adjust their
// frequencies based on their backoff probabilities
- int i,j;
+ int i;
+ EST_Litem *j;
double occurs;
double backoff_prob;
diff -ur festival/speech_tools.old/grammar/ngram/ngrammar_aux.cc festival/speech_tools/grammar/ngram/ngrammar_aux.cc
--- speech_tools.old/grammar/ngram/ngrammar_aux.cc 2004-09-30 08:53:36.000000000 -0400
+++ speech_tools/grammar/ngram/ngrammar_aux.cc 2006-12-11 17:36:10.000000000 -0500
@@ -117,7 +117,7 @@
void make_f_of_f(EST_BackoffNgrammarState *s,void *params)
{
- int k;
+ EST_Litem *k;
double freq;
EST_String name;
@@ -138,7 +138,7 @@
void get_max_f(EST_BackoffNgrammarState *s,void *params)
{
- int k;
+ EST_Litem *k;
double freq;
EST_String name;
@@ -158,7 +158,7 @@
void map_f_of_f(EST_BackoffNgrammarState *s,void *params)
{
- int k;
+ EST_Litem *k;
double freq;
EST_String name;
@@ -184,7 +184,7 @@
void zero_small_f(EST_BackoffNgrammarState *s,void *params)
{
- int k;
+ EST_Litem *k;
double freq;
EST_String name;
@@ -204,7 +204,8 @@
void frequency_of_frequencies(EST_DVector &ff, EST_Ngrammar &n,int this_order)
{
- int i,k,size;
+ int i,size;
+ EST_Litem *k;
double max=0.0;
// if ff has zero size, do complete frequency of frequencies
@@ -302,8 +303,8 @@
void map_frequencies(EST_Ngrammar &n, const EST_DVector &map, const int this_order)
{
- int i,k;
-
+ int i;
+ EST_Litem *k;
switch(n.representation())
{
diff -ur festival/speech_tools.old/grammar/ngram/ngrammar_io.cc festival/speech_tools/grammar/ngram/ngrammar_io.cc
--- speech_tools.old/grammar/ngram/ngrammar_io.cc 2004-09-30 08:53:36.000000000 -0400
+++ speech_tools/grammar/ngram/ngrammar_io.cc 2006-12-11 17:36:10.000000000 -0500
@@ -281,7 +281,8 @@
load_ngram_cstr_bin(const EST_String filename, EST_Ngrammar &n)
{
EST_TokenStream ts;
- int i,j,k,order;
+ int i,j,order;
+ EST_Litem *k;
int num_entries;
double approx_num_samples = 0.0;
long freq_data_start, freq_data_end;
@@ -407,7 +408,7 @@
save_ngram_htk_ascii_sub(const EST_String &word, ostream *ost,
EST_Ngrammar &n, double floor)
{
- int k;
+ EST_Litem *k;
EST_String name;
double freq;
EST_StrVector this_ngram(2); // assumes bigram
@@ -734,7 +735,8 @@
// awb's format
(void)trace;
ostream *ost;
- int i,k;
+ int i;
+ EST_Litem *k;
if (filename == "-")
ost = &cout;
@@ -831,7 +833,8 @@
if (n.representation() == EST_Ngrammar::sparse)
return misc_write_error;
- int i,k;
+ int i;
+ EST_Litem *k;
FILE *ofd;
double lfreq = -1;
double count = -1;
diff -ur festival/speech_tools.old/grammar/wfst/wfst_train.cc festival/speech_tools/grammar/wfst/wfst_train.cc
--- speech_tools.old/grammar/wfst/wfst_train.cc 2005-07-26 18:37:36.000000000 -0400
+++ speech_tools/grammar/wfst/wfst_train.cc 2006-12-11 17:36:10.000000000 -0500
@@ -315,7 +315,8 @@
LISP *ssplits;
gc_protect(&splits);
EST_String sname;
- int b,best_b,i;
+ int b,best_b;
+ EST_Litem *i;
int num_pdfs;
double best_score, score, sfreq;
@@ -390,7 +391,7 @@
// Find score of (a+b) vs (all-(a+b))
EST_DiscreteProbDistribution ab(a);
EST_DiscreteProbDistribution all_but_ab(all);
- int i;
+ EST_Litem *i;
EST_String sname;
double sfreq, score;
for (i=b.item_start(); !b.item_end(i);
@@ -522,7 +523,7 @@
EST_DiscreteProbDistribution pdf_split(&wfst.in_symbols());
EST_DiscreteProbDistribution pdf_remain(&wfst.in_symbols());
int in, tostate, id;
- int i;
+ EST_Litem *i;
double sfreq;
EST_String sname;
diff -ur festival/speech_tools.old/include/EST_simplestats.h festival/speech_tools/include/EST_simplestats.h
--- speech_tools.old/include/EST_simplestats.h 2004-04-30 12:56:49.000000000 -0400
+++ speech_tools/include/EST_simplestats.h 2006-12-11 17:36:10.000000000 -0500
@@ -47,6 +47,8 @@
#include "EST_TKVL.h"
#include "EST_types.h"
+typedef size_t int_iter;
+
/** A class for managing mapping string names to integers and back again,
mainly used for representing alphabets in n-grams and grammars etc.
@@ -249,7 +251,8 @@
/// Add this observation, may specify number of occurrences
void cumulate(const EST_String &s,double count=1);
/// Add this observation, i must be with in EST\_Discrete range
- void cumulate(const int i,double count=1);
+ void cumulate(EST_Litem *i,double count=1);
+ void cumulate(int i,double count=1);
/// Return the most probable member of the distribution
const EST_String &most_probable(double *prob = NULL) const;
/** Return the entropy of the distribution
@@ -265,17 +268,18 @@
///
double frequency(const int i) const;
/// Used for iterating through members of the distribution
- int item_start() const;
+ EST_Litem *item_start() const;
/// Used for iterating through members of the distribution
- int item_next(int idx) const;
+ EST_Litem *item_next(EST_Litem *idx) const;
/// Used for iterating through members of the distribution
- int item_end(int idx) const;
+ int item_end(EST_Litem *idx) const;
+
/// During iteration returns name given index
- const EST_String &item_name(int idx) const;
+ const EST_String &item_name(EST_Litem *idx) const;
/// During iteration returns name and frequency given index
- void item_freq(int idx,EST_String &s,double &freq) const;
+ void item_freq(EST_Litem *idx,EST_String &s,double &freq) const;
/// During iteration returns name and probability given index
- void item_prob(int idx,EST_String &s,double &prob) const;
+ void item_prob(EST_Litem *idx,EST_String &s,double &prob) const;
/// Returns discrete vocabulary of distribution
inline const EST_Discrete *const get_discrete() const { return discrete; };
@@ -288,11 +292,13 @@
accordingly. This is used when smoothing frequencies.
*/
void set_frequency(int i,double c);
+ void set_frequency(EST_Litem *i,double c);
/// Sets the frequency of named item, without modifying {\tt num\_samples}.
void override_frequency(const EST_String &s,double c);
/// Sets the frequency of named item, without modifying {\tt num\_samples}.
void override_frequency(int i,double c);
+ void override_frequency(EST_Litem *i,double c);
/** Sets the number of samples. Care should be taken on setting this
as it will affect how probabilities are calculated.
diff -ur festival/speech_tools.old/include/EST_Track.h festival/speech_tools/include/EST_Track.h
--- speech_tools.old/include/EST_Track.h 2004-05-29 14:34:40.000000000 -0400
+++ speech_tools/include/EST_Track.h 2007-02-13 00:12:53.000000000 -0500
@@ -61,6 +61,7 @@
tff_htk,
tff_htk_fbank,
tff_htk_mfcc,
+ tff_htk_mfcc_e,
tff_htk_user,
tff_htk_discrete,
tff_xmg,
diff -ur festival/speech_tools.old/include/EST_TSimpleVector.h festival/speech_tools/include/EST_TSimpleVector.h
--- speech_tools.old/include/EST_TSimpleVector.h 2006-07-06 08:57:24.000000000 -0400
+++ speech_tools/include/EST_TSimpleVector.h 2006-09-27 09:19:35.000000000 -0400
@@ -60,6 +60,9 @@
EST_TSimpleVector(const EST_TSimpleVector<T> &v);
/// "size" constructor
EST_TSimpleVector(int n): EST_TVector<T>(n) {};
+ /// memory constructor
+ EST_TSimpleVector(int n, T* memory, int offset=0,
+ int free_when_destroyed=0): EST_TVector<T>(n,memory) {};
/// resize vector
void resize(int n, int set=1);
diff -ur festival/speech_tools.old/include/EST_Wagon.h festival/speech_tools/include/EST_Wagon.h
--- speech_tools.old/include/EST_Wagon.h 2006-08-11 18:39:02.000000000 -0400
+++ speech_tools/include/EST_Wagon.h 2006-12-02 11:44:48.000000000 -0500
@@ -239,8 +239,7 @@
extern EST_FMatrix wgn_DistMatrix;
extern EST_Track wgn_VertexTrack;
extern EST_Track wgn_UnitTrack;
-extern int wgn_VertexTrack_start;
-extern int wgn_VertexTrack_end;
+extern EST_Track wgn_VertexFeats;
void wgn_load_datadescription(EST_String fname,LISP ignores);
void wgn_load_dataset(WDataSet &ds,EST_String fname);
diff -ur festival/speech_tools.old/lib/siod/siod.scm festival/speech_tools/lib/siod/siod.scm
--- speech_tools.old/lib/siod/siod.scm 2003-03-31 09:28:24.000000000 -0500
+++ speech_tools/lib/siod/siod.scm 2006-12-11 17:36:10.000000000 -0500
@@ -209,7 +209,13 @@
(defun append2 (a b)
(if (null a)
b
- (cons (car a) (append2 (cdr a) b))))
+ (begin
+ (let ((x (reverse a))
+ (y b))
+ (while x
+ (set! y (cons (car x) y))
+ (set! x (cdr x)))
+ y))))
(defun rplacd (a b)
"(replacd A B)
diff -ur festival/speech_tools.old/main/wagon_main.cc festival/speech_tools/main/wagon_main.cc
--- speech_tools.old/main/wagon_main.cc 2006-09-10 17:33:18.000000000 -0400
+++ speech_tools/main/wagon_main.cc 2006-12-02 14:46:44.000000000 -0500
@@ -2,7 +2,7 @@
/* */
/* Centre for Speech Technology Research */
/* University of Edinburgh, UK */
-/* Copyright (c) 1996-2005 */
+/* Copyright (c) 1996-2006 */
/* All Rights Reserved. */
/* */
/* Permission is hereby granted, free of charge, to use and distribute */
@@ -39,6 +39,8 @@
/* */
/* Added decision list support, Feb 1997 */
/* */
+/* Added vector support for Clustergen 2005/2006 */
+/* */
/*=======================================================================*/
#include <cstdlib>
#include <iostream>
@@ -111,6 +113,54 @@
return 0;
}
+static int set_Vertex_Feats(EST_Track &wgn_VertexFeats,
+ EST_String &wagon_track_features)
+{
+ int i,s=0,e;
+ EST_TokenStream ts;
+
+ for (i=0; i<wgn_VertexFeats.num_channels(); i++)
+ wgn_VertexFeats.a(0,i) = 0.0;
+
+ ts.open_string(wagon_track_features);
+ ts.set_WhiteSpaceChars(",- ");
+ ts.set_PunctuationSymbols("");
+ ts.set_PrePunctuationSymbols("");
+ ts.set_SingleCharSymbols("");
+
+ while (!ts.eof())
+ {
+ EST_Token &token = ts.get();
+ const EST_String ws = (const char *)token.whitespace();
+ if (token == "all")
+ {
+ for (i=0; i<wgn_VertexFeats.num_channels(); i++)
+ wgn_VertexFeats.a(0,i) = 1.0;
+ break;
+ } else if ((ws == ",") || (ws == ""))
+ {
+ s = atoi(token.string());
+ wgn_VertexFeats.a(0,s) = 1.0;
+ } else if (ws == "-")
+ {
+ if (token == "")
+ e = wgn_VertexFeats.num_channels()-1;
+ else
+ e = atoi(token.string());
+ for (i=s; i<=e && i<wgn_VertexFeats.num_channels(); i++)
+ wgn_VertexFeats.a(0,i) = 1.0;
+ } else
+ {
+ printf("wagon: track_feats invalid: %s at position %d\n",
+ (const char *)wagon_track_features,
+ ts.filepos());
+ exit(-1);
+ }
+ }
+
+ return 0;
+}
+
static int wagon_main(int argc, char **argv)
{
// Top level function sets up data and creates a tree
@@ -119,6 +169,8 @@
EST_String wgn_oname;
ostream *wgn_coutput = 0;
float stepwise_limit = 0;
+ int feats_start=0, feats_end=0;
+ int i;
parse_command_line
(argc, argv,
@@ -142,6 +194,9 @@
" start channel vertex indices\n"+
"-track_end <int>\n"+
" end (inclusive) channel for vertex indices\n"+
+ "-track_feats <string>\n"+
+ " Track features to use, comma separated list\n"+
+ " with feature numbers and/or ranges, 0 start\n"+
"-unittrack <ifile>\n"+
" track for unit start and length in vertex track\n"+
"-quiet No questions printed during building\n"+
@@ -256,36 +311,53 @@
else if (al.present("-track"))
{
wgn_VertexTrack.load(al.val("-track"));
- wgn_VertexTrack_start = 0;
- wgn_VertexTrack_end = wgn_VertexTrack.num_channels()-1;
+ wgn_VertexFeats.resize(1,wgn_VertexTrack.num_channels());
+ for (i=0; i<wgn_VertexFeats.num_channels(); i++)
+ wgn_VertexFeats.a(0,i) = 1.0;
}
if (al.present("-track_start"))
{
- wgn_VertexTrack_start = al.ival("-track_start");
- if ((wgn_VertexTrack_start < 0) ||
- (wgn_VertexTrack_start > wgn_VertexTrack.num_channels()))
+ feats_start = al.ival("-track_start");
+ if ((feats_start < 0) ||
+ (feats_start > wgn_VertexTrack.num_channels()))
{
printf("wagon: track_start invalid: %d out of %d channels\n",
- wgn_VertexTrack_start,
+ feats_start,
wgn_VertexTrack.num_channels());
exit(-1);
}
+ for (i=0; i<feats_start; i++)
+ wgn_VertexFeats.a(0,i) = 0.0; /* don't do feats up to start */
+
}
if (al.present("-track_end"))
{
- wgn_VertexTrack_end = al.ival("-track_end");
- if ((wgn_VertexTrack_end < wgn_VertexTrack_start) ||
- (wgn_VertexTrack_end > wgn_VertexTrack.num_channels()))
+ feats_end = al.ival("-track_end");
+ if ((feats_end < feats_start) ||
+ (feats_end > wgn_VertexTrack.num_channels()))
{
printf("wagon: track_end invalid: %d between start %d out of %d channels\n",
- wgn_VertexTrack_end,
- wgn_VertexTrack_start,
+ feats_end,
+ feats_start,
wgn_VertexTrack.num_channels());
exit(-1);
}
+ for (i=feats_end+1; i<wgn_VertexTrack.num_channels(); i++)
+ wgn_VertexFeats.a(0,i) = 0.0; /* don't do feats after end */
}
+ if (al.present("-track_feats"))
+ { /* overrides start and end numbers */
+ EST_String wagon_track_features = al.val("-track_feats");
+ set_Vertex_Feats(wgn_VertexFeats,wagon_track_features);
+ }
+
+ // printf("Track feats\n");
+ // for (i=0; i<wgn_VertexTrack.num_channels(); i++)
+ // if (wgn_VertexFeats.a(0,i) > 0.0)
+ // printf("%d ",i);
+ // printf("\n");
if (al.present("-unittrack"))
{ /* contains two features, a start and length. start indexes */
diff -ur festival/speech_tools.old/siod/slib_str.cc festival/speech_tools/siod/slib_str.cc
--- speech_tools.old/siod/slib_str.cc 2004-09-30 08:53:36.000000000 -0400
+++ speech_tools/siod/slib_str.cc 2006-09-27 11:54:29.000000000 -0400
@@ -268,7 +268,7 @@
LISP l_matches(LISP atom, LISP regex)
{
// t if printname of atom matches regex, nil otherwise
- EST_String pname = get_c_string(atom);
+ const EST_String pname = get_c_string(atom);
if (pname.matches(make_regex(get_c_string(regex))) == TRUE)
return truth;
diff -ur festival/speech_tools.old/speech_class/EST_TrackFile.cc festival/speech_tools/speech_class/EST_TrackFile.cc
--- speech_tools.old/speech_class/EST_TrackFile.cc 2006-09-10 16:32:14.000000000 -0400
+++ speech_tools/speech_class/EST_TrackFile.cc 2007-02-13 00:12:53.000000000 -0500
@@ -522,7 +522,6 @@
// }
if( ascii ){
-
for (j = 0; j < num_channels; ++j){
tr.a(i, j) = ts.get().Float(ok);
if (!ok)
@@ -1254,6 +1253,11 @@
return save_htk_as(filename, tmp, HTK_MFCC);
}
+EST_write_status EST_TrackFile::save_htk_mfcc_e(const EST_String filename, EST_Track tmp)
+{
+ return save_htk_as(filename, tmp, HTK_MFCC | HTK_ENERGY);
+}
+
EST_write_status EST_TrackFile::save_htk_user(const EST_String filename, EST_Track tmp)
{
return save_htk_as(filename, tmp, HTK_USER);
@@ -2097,14 +2101,14 @@
EST_String EST_TrackFile::options_supported(void)
{
- EST_String s("Available track file formats:\n");
+ EST_String s("AvailablE track file formats:\n");
for(int n=0; n< EST_TrackFile::map.n() ; n++)
{
const char *nm = EST_TrackFile::map.name(EST_TrackFile::map.token(n));
const char *d = EST_TrackFile::map.info(EST_TrackFile::map.token(n)).description;
- s += EST_String::cat(" ", nm, EST_String(" ")*(12-strlen(nm)), d, "\n");
+ s += EST_String::cat(" ", nm, EST_String(" ")*(13-strlen(nm)), d, "\n");
}
return s;
}
@@ -2137,6 +2141,9 @@
{tff_htk_mfcc, { "htk_mfcc" },
{FALSE, EST_TrackFile::load_htk, EST_TrackFile::save_htk_mfcc,
"htk file (as MFCC)"}},
+{tff_htk_mfcc_e, { "htk_mfcc_e" },
+{FALSE, EST_TrackFile::load_htk, EST_TrackFile::save_htk_mfcc_e,
+ "htk file (as MFCC_E)"}},
{tff_htk_user, { "htk_user" },
{FALSE, EST_TrackFile::load_htk, EST_TrackFile::save_htk_user,
"htk file (as USER)"}},
diff -ur festival/speech_tools.old/speech_class/EST_TrackFile.h festival/speech_tools/speech_class/EST_TrackFile.h
--- speech_tools.old/speech_class/EST_TrackFile.h 2004-05-29 14:34:42.000000000 -0400
+++ speech_tools/speech_class/EST_TrackFile.h 2007-02-13 00:12:53.000000000 -0500
@@ -111,6 +111,8 @@
static EST_write_status save_htk_fbank(SaveTrackFileArgs);
static EST_read_status load_htk_fbank(LoadTrackFileArgs);
+ static EST_write_status save_htk_mfcc_e(SaveTrackFileArgs);
+
static EST_write_status save_htk_mfcc(SaveTrackFileArgs);
static EST_read_status load_htk_mfcc(LoadTrackFileArgs);
diff -ur festival/speech_tools.old/speech_class/EST_wave_io.cc festival/speech_tools/speech_class/EST_wave_io.cc
--- speech_tools.old/speech_class/EST_wave_io.cc 2006-01-12 10:37:51.000000000 -0500
+++ speech_tools/speech_class/EST_wave_io.cc 2007-02-13 00:12:53.000000000 -0500
@@ -173,7 +173,7 @@
current_pos = ts.tell();
if (ts.fread(header,NIST_HDR_SIZE,1) != 1)
- return misc_read_error;
+ return wrong_format;
if (strncmp(header,NIST_SIG,sizeof(NIST_SIG)) != 0)
return wrong_format;
diff -ur festival/speech_tools.old/stats/EST_DProbDist.cc festival/speech_tools/stats/EST_DProbDist.cc
--- speech_tools.old/stats/EST_DProbDist.cc 2004-09-30 08:53:36.000000000 -0400
+++ speech_tools/stats/EST_DProbDist.cc 2006-12-11 17:36:12.000000000 -0500
@@ -46,6 +46,39 @@
#include "EST_TKVL.h"
#include "EST_simplestats.h"
+/* We share ints and pointers for two types of probability distributions */
+/* The know discrete sets can be indexed by ints which is *much* faster */
+/* the indices pass around a pointers but the lower part contain ints in */
+/* the discrete case */
+/* On 64bit architectures this is a issue so we need have some macros */
+/* to help us here. */
+
+const int est_64to32(void *c)
+{ /* this returns the bottom end of the pointer as an unsigned int */
+ /* I believe this is a safe way to do it, we check the bits in the */
+ /* 64 bit int and multiply them out in the 32 bit one */
+ /* there might be better ways, but I think you'd need to think about */
+ /* byte order then */
+ long long l;
+ int d;
+ int i,x;
+
+ l = (long long)c;
+
+ for (i=0,d=0,x=1; i<24; i++)
+ {
+ if (l & 1)
+ d += x;
+ l = l >> 1;
+ x += x;
+ }
+
+ return d;
+}
+/* #define tprob_int(X) ((sizeof(void *) != 8) ? est_64to32(X) : (int)X) */
+#define tprob_int(X) (est_64to32(X))
+
+
EST_DiscreteProbDistribution::EST_DiscreteProbDistribution(const EST_Discrete *d,
const double n_samples, const EST_DVector &counts)
{
@@ -109,7 +142,13 @@
icounts.a_no_check(i) = 0;
}
-void EST_DiscreteProbDistribution::cumulate(const int i,double count)
+void EST_DiscreteProbDistribution::cumulate(EST_Litem *i,double count)
+{
+ icounts[tprob_int(i)] += count;
+ num_samples += count;
+}
+
+void EST_DiscreteProbDistribution::cumulate(int i,double count)
{
icounts[i] += count;
num_samples += count;
@@ -257,6 +296,21 @@
}
+void EST_DiscreteProbDistribution::set_frequency(EST_Litem *i,double c)
+{
+ if (type == tprob_discrete)
+ {
+ num_samples -= icounts[tprob_int(i)];
+ num_samples += c;
+ icounts[tprob_int(i)] = c;
+ }
+ else
+ {
+ cerr << "ProbDistribution: can't access string type pd with int\n";
+ }
+
+}
+
void EST_DiscreteProbDistribution::override_frequency(const EST_String &s,double c)
{
@@ -274,6 +328,14 @@
cerr << "ProbDistribution: can't access string type pd with int\n";
}
+void EST_DiscreteProbDistribution::override_frequency(EST_Litem *i,double c)
+{
+ if (type == tprob_discrete)
+ icounts[tprob_int(i)] = c;
+ else
+ cerr << "ProbDistribution: can't access string type pd with int\n";
+}
+
double EST_DiscreteProbDistribution::entropy() const
{
// Returns the entropy of the current distribution
@@ -305,70 +367,70 @@
}
// For iterating through members of a probability distribution
-int EST_DiscreteProbDistribution::item_start(void) const
+EST_Litem *EST_DiscreteProbDistribution::item_start(void) const
{
if (type == tprob_discrete)
- return 0;
+ return NULL;
else
- return (int)scounts.list.head();
+ return scounts.list.head();
}
-int EST_DiscreteProbDistribution::item_end(int idx) const
+int EST_DiscreteProbDistribution::item_end(EST_Litem *idx) const
{
if (type == tprob_discrete)
- return (idx >= icounts.length());
+ return (tprob_int(idx) >= icounts.length());
else
- return ((EST_Litem *)idx == 0);
+ return (idx == 0);
}
-int EST_DiscreteProbDistribution::item_next(int idx) const
+EST_Litem *EST_DiscreteProbDistribution::item_next(EST_Litem *idx) const
{
if (type == tprob_discrete)
- return ++idx;
+ return (EST_Litem *)(((unsigned char *)idx)+1);
else
- return (int)next((EST_Litem *)idx);
+ return next(idx);
}
-const EST_String &EST_DiscreteProbDistribution::item_name(int idx) const
+const EST_String &EST_DiscreteProbDistribution::item_name(EST_Litem *idx) const
{
if (type == tprob_discrete)
- return discrete->name(idx);
+ return discrete->name(tprob_int(idx));
else
- return scounts.list((EST_Litem *)idx).k;
+ return scounts.list(idx).k;
}
-void EST_DiscreteProbDistribution::item_freq(int idx,EST_String &s,double &freq) const
+void EST_DiscreteProbDistribution::item_freq(EST_Litem *idx,EST_String &s,double &freq) const
{
if (type == tprob_discrete)
{
- s = discrete->name(idx);
- freq = icounts(idx);
+ s = discrete->name(tprob_int(idx));
+ freq = icounts(tprob_int(idx));
}
else
{
- s = scounts.list((EST_Litem *)idx).k;
- freq = scounts.list((EST_Litem *)idx).v;
+ s = scounts.list(idx).k;
+ freq = scounts.list(idx).v;
}
}
-void EST_DiscreteProbDistribution::item_prob(int idx,EST_String &s,double &prob) const
+void EST_DiscreteProbDistribution::item_prob(EST_Litem *idx,EST_String &s,double &prob) const
{
if (type == tprob_discrete)
{
- prob = probability(idx);
- s = discrete->name(idx);
+ prob = probability(tprob_int(idx));
+ s = discrete->name(tprob_int(idx));
}
else
{
- s = scounts.list((EST_Litem *)idx).k;
- prob = (double)scounts.list((EST_Litem *)idx).v/num_samples;
+ s = scounts.list(idx).k;
+ prob = (double)scounts.list(idx).v/num_samples;
}
}
ostream & operator<<(ostream &s, const EST_DiscreteProbDistribution &pd)
{
// Output best with probabilities
- int i;
+ EST_Litem *i;
double prob;
double sum=0;
EST_String name;
diff -ur festival/speech_tools.old/stats/EST_viterbi.cc festival/speech_tools/stats/EST_viterbi.cc
--- speech_tools.old/stats/EST_viterbi.cc 2006-07-07 17:26:11.000000000 -0400
+++ speech_tools/stats/EST_viterbi.cc 2006-09-27 09:19:35.000000000 -0400
@@ -165,7 +165,7 @@
return (a < b);
}
-static void init_dynamic_states(EST_VTPoint *p, EST_VTCandidate *cands)
+static int init_dynamic_states(EST_VTPoint *p, EST_VTCandidate *cands)
{
// In a special (hmm maybe not so special), the number of "states"
// is the number of candidates
@@ -175,6 +175,8 @@
for (i=0, c=cands; c != 0; c=c->next,i++)
c->pos = i;
init_paths_array(p,i);
+
+ return i;
}
void EST_Viterbi_Decoder::set_pruning_parameters(float beam, float
diff -ur festival/speech_tools.old/stats/wagon/wagon_aux.cc festival/speech_tools/stats/wagon/wagon_aux.cc
--- speech_tools.old/stats/wagon/wagon_aux.cc 2006-08-20 13:02:39.000000000 -0400
+++ speech_tools/stats/wagon/wagon_aux.cc 2006-12-12 10:45:19.000000000 -0500
@@ -422,16 +422,19 @@
#if 1
/* simple distance */
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
{
- b.reset();
- for (pp=members.head(); pp != 0; pp=next(pp))
+ if (wgn_VertexFeats.a(0,j) > 0.0)
{
- i = members.item(pp);
- b += wgn_VertexTrack.a(i,j);
+ b.reset();
+ for (pp=members.head(); pp != 0; pp=next(pp))
+ {
+ i = members.item(pp);
+ b += wgn_VertexTrack.a(i,j);
+ }
+ a += b.stddev();
+ count = b.samples();
}
- a += b.stddev();
- count = b.samples();
}
#endif
@@ -440,26 +443,37 @@
/* worse in listening experiments */
EST_SuffStats **cs;
int mmm;
- cs = new EST_SuffStats *[wgn_VertexTrack_end+1];
- for (j=0; j<=wgn_VertexTrack_end; j++)
- cs[j] = new EST_SuffStats[wgn_VertexTrack_end+1];
+ cs = new EST_SuffStats *[wgn_VertexTrack.num_channels()+1];
+ for (j=0; j<=wgn_VertexTrack.num_channels(); j++)
+ cs[j] = new EST_SuffStats[wgn_VertexTrack.num_channels()+1];
/* Find means for diagonal */
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
{
- for (pp=members.head(); pp != 0; pp=next(pp))
- cs[j][j] += wgn_VertexTrack.a(members.item(pp),j);
- }
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- for (i=j+1; i<wgn_VertexTrack_end; i++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ {
for (pp=members.head(); pp != 0; pp=next(pp))
+ cs[j][j] += wgn_VertexTrack.a(members.item(pp),j);
+ }
+ }
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ {
+ for (i=j+1; i<wgn_VertexFeats.num_channels(); i++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
{
- mmm = members.item(pp);
- cs[i][j] += (wgn_VertexTrack.a(mmm,i)-cs[j][j].mean())*
- (wgn_VertexTrack.a(mmm,j)-cs[j][j].mean());
- }
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- for (i=j+1; i<wgn_VertexTrack_end; i++)
- a += cs[i][j].stddev();
+ for (pp=members.head(); pp != 0; pp=next(pp))
+ {
+ mmm = members.item(pp);
+ cs[i][j] += (wgn_VertexTrack.a(mmm,i)-cs[j][j].mean())*
+ (wgn_VertexTrack.a(mmm,j)-cs[j][j].mean());
+ }
+ }
+ }
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ {
+ for (i=j+1; i<wgn_VertexFeats.num_channels(); i++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ a += cs[i][j].stddev();
+ }
count = cs[0][0].samples();
#endif
@@ -476,11 +490,12 @@
for (qq=next(pp); qq != 0; qq=next(qq))
{
y = members.item(qq);
- for (q=0.0,j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- {
- d = wgn_VertexTrack(x,j)-wgn_VertexTrack(y,j);
- q += d*d;
- }
+ for (q=0.0,j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ {
+ d = wgn_VertexTrack(x,j)-wgn_VertexTrack(y,j);
+ q += d*d;
+ }
a += sqrt(q);
}
@@ -562,7 +577,7 @@
/* a list of SuffStats on for each point in the trajectory */
trajectory = new EST_SuffStats *[l];
- width = wgn_VertexTrack_end+1;
+ width = wgn_VertexTrack.num_channels()+1;
for (j=0; j<l; j++)
trajectory[j] = new EST_SuffStats[width];
@@ -574,16 +589,22 @@
for (ti=0,n=0.0; ti<l; ti++,n+=m)
{
ni = (int)n; // hmm floor or nint ??
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- trajectory[ti][j] += wgn_VertexTrack.a(s+ni,j);
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ {
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ trajectory[ti][j] += wgn_VertexTrack.a(s+ni,j);
+ }
}
}
/* find sum of sum of stddev for all coefs of all traj points */
stdss.reset();
for (ti=0; ti<l; ti++)
- for (j=wgn_VertexTrack_start+1; j<=wgn_VertexTrack_end; j++)
- stdss += trajectory[ti][j].stddev();
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ {
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ stdss += trajectory[ti][j].stddev();
+ }
// This is sum of all stddev * samples
score = stdss.mean() * members.length();
@@ -597,7 +618,7 @@
/* a list of SuffStats on for each point in the trajectory */
trajectory = new EST_SuffStats *[l];
for (j=0; j<l; j++)
- trajectory[j] = new EST_SuffStats[wgn_VertexTrack_end+1];
+ trajectory[j] = new EST_SuffStats[wgn_VertexTrack.num_channels()+1];
for (pp=members.head(); pp != 0; pp=next(pp))
{ /* for each unit */
@@ -617,22 +638,26 @@
for (ti=0,n=0.0; s1l > 0 && ti<l1; ti++,n+=m1)
{
ni = s + (((int)n < s1l) ? (int)n : s1l - 1);
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- trajectory[ti][j] += wgn_VertexTrack.a(ni,j);
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ trajectory[ti][j] += wgn_VertexTrack.a(ni,j);
}
ti = l1; /* do it explicitly in case s1l < 1 */
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- trajectory[ti][j] += -1;
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ trajectory[ti][j] += -1;
/* Second half */
s += s1l+1;
for (ti++,n=0.0; s2l > 0 && ti<l-1; ti++,n+=m2)
{
ni = s + (((int)n < s2l) ? (int)n : s2l - 1);
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- trajectory[ti][j] += wgn_VertexTrack.a(ni,j);
- }
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- trajectory[ti][j] += -2;
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ trajectory[ti][j] += wgn_VertexTrack.a(ni,j);
+ }
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ trajectory[ti][j] += -2;
}
/* find sum of sum of stddev for all coefs of all traj points */
@@ -640,12 +665,14 @@
stdss.reset();
m = 1.0/(float)l1;
for (w=0.0,ti=0; ti<l1; ti++,w+=m)
- for (j=wgn_VertexTrack_start+1; j<=wgn_VertexTrack_end; j++)
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
stdss += trajectory[ti][j].stddev() * w;
m = 1.0/(float)l2;
for (w=1.0,ti++; ti<l-1; ti++,w-=m)
- for (j=wgn_VertexTrack_start+1; j<=wgn_VertexTrack_end; j++)
- stdss += trajectory[ti][j].stddev() * w;
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ stdss += trajectory[ti][j].stddev() * w;
// This is sum of all stddev * samples
score = stdss.mean() * members.length();
@@ -824,25 +851,27 @@
int bestp = 0;
EST_SuffStats *cs;
- cs = new EST_SuffStats [wgn_VertexTrack_end+1];
+ cs = new EST_SuffStats [wgn_VertexTrack.num_channels()+1];
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- {
- cs[j].reset();
- for (p=imp.members.head(); p != 0; p=next(p))
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
{
- cs[j] += wgn_VertexTrack.a(imp.members.item(p),j);
+ cs[j].reset();
+ for (p=imp.members.head(); p != 0; p=next(p))
+ {
+ cs[j] += wgn_VertexTrack.a(imp.members.item(p),j);
+ }
}
- }
for (p=imp.members.head(); p != 0; p=next(p))
{
- for (x=0,j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- {
- d = (wgn_VertexTrack.a(imp.members.item(p),j)-cs[j].mean())
- /* / b.stddev() */ ;
- x += d*d;
- }
+ for (x=0.0,j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
+ {
+ d = (wgn_VertexTrack.a(imp.members.item(p),j)-cs[j].mean())
+ /* / cs[j].stddev() */ ;
+ x += d*d;
+ }
if (x < best)
{
bestp = imp.members.item(p);
@@ -853,7 +882,12 @@
{
s << "( ";
s << wgn_VertexTrack.a(bestp,j);
- s << " 0 "; // fake stddev
+ // s << " 0 "; // fake stddev
+ s << " ";
+ if (finite(cs[j].stddev()))
+ s << cs[j].stddev();
+ else
+ s << "0";
s << " ) ";
if (j+1<wgn_VertexTrack.num_channels())
s << " ";
@@ -900,7 +934,7 @@
}
else if (imp.t == wnim_class)
{
- int i;
+ EST_Litem *i;
EST_String name;
double prob;
diff -ur festival/speech_tools.old/stats/wagon/wagon.cc festival/speech_tools/stats/wagon/wagon.cc
--- speech_tools.old/stats/wagon/wagon.cc 2006-08-11 18:35:19.000000000 -0400
+++ speech_tools/stats/wagon/wagon.cc 2006-12-02 13:13:43.000000000 -0500
@@ -58,8 +58,7 @@
WDataSet wgn_test_dataset;
EST_FMatrix wgn_DistMatrix;
EST_Track wgn_VertexTrack;
-int wgn_VertexTrack_start=0;
-int wgn_VertexTrack_end=24;
+EST_Track wgn_VertexFeats;
EST_Track wgn_UnitTrack;
int wgn_min_cluster_size = 50;
@@ -349,34 +348,35 @@
{
leaf = tree.predict_node((*dataset(p)));
pos = dataset(p)->get_int_val(wgn_predictee);
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- {
- b.reset();
- for (pp=leaf->get_impurity().members.head(); pp != 0; pp=next(pp))
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
{
- i = leaf->get_impurity().members.item(pp);
- b += wgn_VertexTrack.a(i,j);
+ b.reset();
+ for (pp=leaf->get_impurity().members.head(); pp != 0; pp=next(pp))
+ {
+ i = leaf->get_impurity().members.item(pp);
+ b += wgn_VertexTrack.a(i,j);
+ }
+ predict = b.mean();
+ actual = wgn_VertexTrack.a(pos,j);
+ if (wgn_count_field == -1)
+ count = 1.0;
+ else
+ count = dataset(p)->get_flt_val(wgn_count_field);
+ x.cumulate(predict,count);
+ y.cumulate(actual,count);
+ /* Normalized the error by the standard deviation */
+ if (b.stddev() == 0)
+ error = predict-actual;
+ else
+ error = (predict-actual)/b.stddev();
+ error = predict-actual; /* awb_debug */
+ se.cumulate((error*error),count);
+ e.cumulate(fabs(error),count);
+ xx.cumulate(predict*predict,count);
+ yy.cumulate(actual*actual,count);
+ xy.cumulate(predict*actual,count);
}
- predict = b.mean();
- actual = wgn_VertexTrack.a(pos,j);
- if (wgn_count_field == -1)
- count = 1.0;
- else
- count = dataset(p)->get_flt_val(wgn_count_field);
- x.cumulate(predict,count);
- y.cumulate(actual,count);
- /* Normalized the error by the standard deviation */
- if (b.stddev() == 0)
- error = predict-actual;
- else
- error = (predict-actual)/b.stddev();
- error = predict-actual; /* awb_debug */
- se.cumulate((error*error),count);
- e.cumulate(fabs(error),count);
- xx.cumulate(predict*predict,count);
- yy.cumulate(actual*actual,count);
- xy.cumulate(predict*actual,count);
- }
}
// Pearson's product moment correlation coefficient
@@ -437,34 +437,35 @@
{
leaf = tree.predict_node((*dataset(p)));
pos = dataset(p)->get_int_val(wgn_predictee);
- for (j=wgn_VertexTrack_start; j<=wgn_VertexTrack_end; j++)
- {
- b.reset();
- for (pp=leaf->get_impurity().members.head(); pp != 0; pp=next(pp))
+ for (j=0; j<wgn_VertexFeats.num_channels(); j++)
+ if (wgn_VertexFeats.a(0,j) > 0.0)
{
- i = leaf->get_impurity().members.item(pp);
- b += wgn_VertexTrack.a(i,j);
+ b.reset();
+ for (pp=leaf->get_impurity().members.head(); pp != 0; pp=next(pp))
+ {
+ i = leaf->get_impurity().members.item(pp);
+ b += wgn_VertexTrack.a(i,j);
+ }
+ predict = b.mean();
+ actual = wgn_VertexTrack.a(pos,j);
+ if (wgn_count_field == -1)
+ count = 1.0;
+ else
+ count = dataset(p)->get_flt_val(wgn_count_field);
+ x.cumulate(predict,count);
+ y.cumulate(actual,count);
+ /* Normalized the error by the standard deviation */
+ if (b.stddev() == 0)
+ error = predict-actual;
+ else
+ error = (predict-actual)/b.stddev();
+ error = predict-actual; /* awb_debug */
+ se.cumulate((error*error),count);
+ e.cumulate(fabs(error),count);
+ xx.cumulate(predict*predict,count);
+ yy.cumulate(actual*actual,count);
+ xy.cumulate(predict*actual,count);
}
- predict = b.mean();
- actual = wgn_VertexTrack.a(pos,j);
- if (wgn_count_field == -1)
- count = 1.0;
- else
- count = dataset(p)->get_flt_val(wgn_count_field);
- x.cumulate(predict,count);
- y.cumulate(actual,count);
- /* Normalized the error by the standard deviation */
- if (b.stddev() == 0)
- error = predict-actual;
- else
- error = (predict-actual)/b.stddev();
- error = predict-actual; /* awb_debug */
- se.cumulate((error*error),count);
- e.cumulate(fabs(error),count);
- xx.cumulate(predict*predict,count);
- yy.cumulate(actual*actual,count);
- xy.cumulate(predict*actual,count);
- }
}
// Pearson's product moment correlation coefficient
diff -ur festival/speech_tools.old/.time-stamp festival/speech_tools/.time-stamp
--- speech_tools.old/.time-stamp 2006-09-27 10:59:11.000000000 -0400
+++ speech_tools/.time-stamp 2007-03-14 11:18:07.000000000 -0400
@@ -1,2 +1,2 @@
speech_tools 1.2.96
-Wed Sep 27 10:59:11 EDT 2006
+Wed Mar 14 11:18:07 EDT 2007
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