Add lpcnet_compute_single_frame_features_float()
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2 changed files with 26 additions and 4 deletions
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@ -145,6 +145,15 @@ LPCNET_EXPORT int lpcnet_compute_features(LPCNetEncState *st, const short *pcm,
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*/
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LPCNET_EXPORT int lpcnet_compute_single_frame_features(LPCNetEncState *st, const short *pcm, float features[NB_TOTAL_FEATURES]);
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/** Compute features on LPCNET_FRAME_SIZE speech samples (currently 160) and output features for one 10-ms frame.
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* @param [in] st <tt>LPCNetDecState*</tt>: Encoder state
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* @param [in] pcm <tt>float *</tt>: Input speech to be analyzed
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* @param [out] features <tt>float[NB_TOTAL_FEATURES]</tt>: Four feature vectors
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* @retval 0 Success
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*/
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LPCNET_EXPORT int lpcnet_compute_single_frame_features_float(LPCNetEncState *st, const float *pcm, float features[NB_TOTAL_FEATURES]);
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/** Gets the size of an <code>LPCNetState</code> structure.
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* @returns The size in bytes.
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*/
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@ -894,13 +894,26 @@ LPCNET_EXPORT int lpcnet_compute_features(LPCNetEncState *st, const short *pcm,
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return 0;
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}
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int lpcnet_compute_single_frame_features(LPCNetEncState *st, const short *pcm, float features[NB_TOTAL_FEATURES]) {
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int i;
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float x[FRAME_SIZE];
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for (i=0;i<FRAME_SIZE;i++) x[i] = pcm[i];
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static int lpcnet_compute_single_frame_features_impl(LPCNetEncState *st, float *x, float features[NB_TOTAL_FEATURES]) {
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preemphasis(x, &st->mem_preemph, x, PREEMPHASIS, FRAME_SIZE);
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compute_frame_features(st, x);
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process_single_frame(st, NULL);
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RNN_COPY(features, &st->features[0][0], NB_TOTAL_FEATURES);
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return 0;
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}
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int lpcnet_compute_single_frame_features(LPCNetEncState *st, const short *pcm, float features[NB_TOTAL_FEATURES]) {
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int i;
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float x[FRAME_SIZE];
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for (i=0;i<FRAME_SIZE;i++) x[i] = pcm[i];
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lpcnet_compute_single_frame_features_impl(st, x, features);
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return 0;
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}
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int lpcnet_compute_single_frame_features_float(LPCNetEncState *st, const float *pcm, float features[NB_TOTAL_FEATURES]) {
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int i;
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float x[FRAME_SIZE];
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for (i=0;i<FRAME_SIZE;i++) x[i] = pcm[i];
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lpcnet_compute_single_frame_features_impl(st, x, features);
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return 0;
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}
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