SphinxBase 0.6
yin.c
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1/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- */
2/*
3 * Copyright (c) 2008 Beyond Access, Inc. All rights reserved.
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6 * modification, are permitted provided that the following conditions
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29
35/* This implements part of the YIN algorithm:
36 *
37 * "YIN, a fundamental frequency estimator for speech and music".
38 * Alain de Cheveigné and Hideki Kawahara. Journal of the Acoustical
39 * Society of America, 111 (4), April 2002.
40 */
41
44#include "sphinxbase/fixpoint.h"
45
46#include "sphinxbase/yin.h"
47
48#include <stdio.h>
49
50struct yin_s {
51 uint16 frame_size;
53 uint16 search_range;
54 uint16 nfr;
56 unsigned char wsize;
57 unsigned char wstart;
58 unsigned char wcur;
59 unsigned char endut;
61 fixed32 **diff_window;
62 uint16 *period_window;
63};
64
68static void
69cmn_diff(int16 const *signal, int32 *out_diff, int ndiff)
70{
71 uint32 cum, cshift;
72 int32 t, tscale;
73
74 out_diff[0] = 32768;
75 cum = 0;
76 cshift = 0;
77
78 /* Determine how many bits we can scale t up by below. */
79 for (tscale = 0; tscale < 32; ++tscale)
80 if (ndiff & (1<<(31-tscale)))
81 break;
82 --tscale; /* Avoid teh overflowz. */
83 /* printf("tscale is %d (ndiff - 1) << tscale is %d\n",
84 tscale, (ndiff-1) << tscale); */
85
86 /* Somewhat elaborate block floating point implementation.
87 * The fp implementation of this is really a lot simpler. */
88 for (t = 1; t < ndiff; ++t) {
89 uint32 dd, dshift, norm;
90 int j;
91
92 dd = 0;
93 dshift = 0;
94 for (j = 0; j < ndiff; ++j) {
95 int diff = signal[j] - signal[t + j];
96 /* Guard against overflows. */
97 if (dd > (1UL<<tscale)) {
98 dd >>= 1;
99 ++dshift;
100 }
101 dd += (diff * diff) >> dshift;
102 }
103 /* Make sure the diffs and cum are shifted to the same
104 * scaling factor (usually dshift will be zero) */
105 if (dshift > cshift) {
106 cum += dd << (dshift-cshift);
107 }
108 else {
109 cum += dd >> (cshift-dshift);
110 }
111
112 /* Guard against overflows and also ensure that (t<<tscale) > cum. */
113 while (cum > (1UL<<tscale)) {
114 cum >>= 1;
115 ++cshift;
116 }
117 /* Avoid divide-by-zero! */
118 if (cum == 0) cum = 1;
119 /* Calculate the normalizer in high precision. */
120 norm = (t << tscale) / cum;
121 /* Do a long multiply and shift down to Q15. */
122 out_diff[t] = (int32)(((long long)dd * norm)
123 >> (tscale - 15 + cshift - dshift));
124 /* printf("dd %d cshift %d dshift %d scaledt %d cum %d norm %d cmn %d\n",
125 dd, cshift, dshift, (t<<tscale), cum, norm, out_diff[t]); */
126 }
127}
128
129yin_t *
130yin_init(int frame_size, float search_threshold,
131 float search_range, int smooth_window)
132{
133 yin_t *pe;
134
135 pe = ckd_calloc(1, sizeof(*pe));
136 pe->frame_size = frame_size;
137 pe->search_threshold = (uint16)(search_threshold * 32768);
138 pe->search_range = (uint16)(search_range * 32768);
139 pe->wsize = smooth_window * 2 + 1;
141 pe->frame_size / 2,
142 sizeof(**pe->diff_window));
144 sizeof(*pe->period_window));
145 return pe;
146}
147
148void
150{
153 ckd_free(pe);
154}
155
156void
158{
159 /* Reset the circular window pointers. */
160 pe->wstart = pe->endut = 0;
161 pe->nfr = 0;
162}
163
164void
166{
167 pe->endut = 1;
168}
169
170int
171thresholded_search(int32 *diff_window, fixed32 threshold, int start, int end)
172{
173 int i, min, argmin;
174
175 min = INT_MAX;
176 argmin = 0;
177 for (i = start; i < end; ++i) {
178 int diff = diff_window[i];
179
180 if (diff < threshold) {
181 min = diff;
182 argmin = i;
183 break;
184 }
185 if (diff < min) {
186 min = diff;
187 argmin = i;
188 }
189 }
190 return argmin;
191}
192
193void
194yin_write(yin_t *pe, int16 const *frame)
195{
196 int outptr, difflen;
197
198 /* Rotate the window one frame forward. */
199 ++pe->wstart;
200 /* Fill in the frame before wstart. */
201 outptr = pe->wstart - 1;
202 /* Wrap around the window pointer. */
203 if (pe->wstart == pe->wsize)
204 pe->wstart = 0;
205
206 /* Now calculate normalized difference function. */
207 difflen = pe->frame_size / 2;
208 cmn_diff(frame, pe->diff_window[outptr], difflen);
209
210 /* Find the first point under threshold. If not found, then
211 * use the absolute minimum. */
212 pe->period_window[outptr]
213 = thresholded_search(pe->diff_window[outptr],
214 pe->search_threshold, 0, difflen);
215
216 /* Increment total number of frames. */
217 ++pe->nfr;
218}
219
220int
221yin_read(yin_t *pe, uint16 *out_period, uint16 *out_bestdiff)
222{
223 int wstart, wlen, half_wsize, i;
224 int best, best_diff, search_width, low_period, high_period;
225
226 half_wsize = (pe->wsize-1)/2;
227 /* Without any smoothing, just return the current value (don't
228 * need to do anything to the current poitner either). */
229 if (half_wsize == 0) {
230 if (pe->endut)
231 return 0;
232 *out_period = pe->period_window[0];
233 *out_bestdiff = pe->diff_window[0][pe->period_window[0]];
234 return 1;
235 }
236
237 /* We can't do anything unless we have at least (wsize-1)/2 + 1
238 * frames, unless we're at the end of the utterance. */
239 if (pe->endut == 0 && pe->nfr < half_wsize + 1) {
240 /* Don't increment the current pointer either. */
241 return 0;
242 }
243
244 /* Establish the smoothing window. */
245 /* End of utterance. */
246 if (pe->endut) {
247 /* We are done (no more data) when pe->wcur = pe->wstart. */
248 if (pe->wcur == pe->wstart)
249 return 0;
250 /* I.e. pe->wcur (circular minus) half_wsize. */
251 wstart = (pe->wcur + pe->wsize - half_wsize) % pe->wsize;
252 /* Number of frames from wstart up to pe->wstart. */
253 wlen = pe->wstart - wstart;
254 if (wlen < 0) wlen += pe->wsize;
255 /*printf("ENDUT! ");*/
256 }
257 /* Beginning of utterance. */
258 else if (pe->nfr < pe->wsize) {
259 wstart = 0;
260 wlen = pe->nfr;
261 }
262 /* Normal case, it is what it is. */
263 else {
264 wstart = pe->wstart;
265 wlen = pe->wsize;
266 }
267
268 /* Now (finally) look for the best local estimate. */
269 /* printf("Searching for local estimate in %d frames around %d\n",
270 wlen, pe->nfr + 1 - wlen); */
271 best = pe->period_window[pe->wcur];
272 best_diff = pe->diff_window[pe->wcur][best];
273 for (i = 0; i < wlen; ++i) {
274 int j = wstart + i;
275 int diff;
276
277 j %= pe->wsize;
278 diff = pe->diff_window[j][pe->period_window[j]];
279 /* printf("%.2f,%.2f ", 1.0 - (double)diff/32768,
280 pe->period_window[j] ? 8000.0/pe->period_window[j] : 8000.0); */
281 if (diff < best_diff) {
282 best_diff = diff;
283 best = pe->period_window[j];
284 }
285 }
286 /* printf("best: %.2f, %.2f\n", 1.0 - (double)best_diff/32768,
287 best ? 8000.0/best : 8000.0); */
288 /* If it's the same as the current one then return it. */
289 if (best == pe->period_window[pe->wcur]) {
290 /* Increment the current pointer. */
291 if (++pe->wcur == pe->wsize)
292 pe->wcur = 0;
293 *out_period = best;
294 *out_bestdiff = best_diff;
295 return 1;
296 }
297 /* Otherwise, redo the search inside a narrower range. */
298 search_width = best * pe->search_range / 32768;
299 /* printf("Search width = %d * %.2f = %d\n",
300 best, (double)pe->search_range/32768, search_width); */
301 if (search_width == 0) search_width = 1;
302 low_period = best - search_width;
303 high_period = best + search_width;
304 if (low_period < 0) low_period = 0;
305 if (high_period > pe->frame_size / 2) high_period = pe->frame_size / 2;
306 /* printf("Searching from %d to %d\n", low_period, high_period); */
307 best = thresholded_search(pe->diff_window[pe->wcur],
309 low_period, high_period);
310 best_diff = pe->diff_window[pe->wcur][best];
311
312 if (out_period)
313 *out_period = (best > 65535) ? 65535 : best;
314 if (out_bestdiff)
315 *out_bestdiff = (best_diff > 65535) ? 65535 : best_diff;
316
317 /* Increment the current pointer. */
318 if (++pe->wcur == pe->wsize)
319 pe->wcur = 0;
320 return 1;
321}
Sphinx's memory allocation/deallocation routines.
SPHINXBASE_EXPORT void ckd_free(void *ptr)
Test and free a 1-D array.
Definition ckd_alloc.c:241
SPHINXBASE_EXPORT void ckd_free_2d(void *ptr)
Free a 2-D array (ptr) previously allocated by ckd_calloc_2d.
Definition ckd_alloc.c:252
#define ckd_calloc_2d(d1, d2, sz)
Macro for ckd_calloc_2d
Definition ckd_alloc.h:270
#define ckd_calloc(n, sz)
Macros to simplify the use of above functions.
Definition ckd_alloc.h:248
Basic type definitions used in Sphinx.
Definition yin.c:50
unsigned char wsize
Size of smoothing window.
Definition yin.c:56
unsigned char wstart
First frame in window.
Definition yin.c:57
uint16 * period_window
Window of best period estimates.
Definition yin.c:62
uint16 search_range
Range around best local estimate to search, in Q15.
Definition yin.c:53
unsigned char endut
Hoch Hech! Are we at the utterance end?
Definition yin.c:59
uint16 search_threshold
Size of analysis frame.
Definition yin.c:52
fixed32 ** diff_window
Window of difference function outputs.
Definition yin.c:61
unsigned char wcur
Current frame of analysis.
Definition yin.c:58
uint16 nfr
Number of frames read so far.
Definition yin.c:54
int yin_read(yin_t *pe, uint16 *out_period, uint16 *out_bestdiff)
Read a raw estimated pitch value from the pitch estimator.
Definition yin.c:221
void yin_free(yin_t *pe)
Free a moving-window pitch estimator.
Definition yin.c:149
void yin_end(yin_t *pe)
Mark the end of an utterance.
Definition yin.c:165
yin_t * yin_init(int frame_size, float search_threshold, float search_range, int smooth_window)
Initialize moving-window pitch estimation.
Definition yin.c:130
void yin_write(yin_t *pe, int16 const *frame)
Feed a frame of data to the pitch estimator.
Definition yin.c:194
void yin_start(yin_t *pe)
Start processing an utterance.
Definition yin.c:157
Implementation of pitch estimation.