| /* |
| * Copyright (c) 2013 The WebRTC project authors. All Rights Reserved. |
| * |
| * Use of this source code is governed by a BSD-style license |
| * that can be found in the LICENSE file in the root of the source |
| * tree. An additional intellectual property rights grant can be found |
| * in the file PATENTS. All contributing project authors may |
| * be found in the AUTHORS file in the root of the source tree. |
| */ |
| |
| #include "webrtc/rtc_base/checks.h" |
| #include "webrtc/modules/audio_processing/ns/noise_suppression_x.h" |
| #include "webrtc/modules/audio_processing/ns/nsx_core.h" |
| #include "webrtc/modules/audio_processing/ns/nsx_defines.h" |
| |
| static const int16_t kIndicatorTable[17] = { |
| 0, 2017, 3809, 5227, 6258, 6963, 7424, 7718, |
| 7901, 8014, 8084, 8126, 8152, 8168, 8177, 8183, 8187 |
| }; |
| |
| // Compute speech/noise probability |
| // speech/noise probability is returned in: probSpeechFinal |
| //snrLocPrior is the prior SNR for each frequency (in Q11) |
| //snrLocPost is the post SNR for each frequency (in Q11) |
| void WebRtcNsx_SpeechNoiseProb(NoiseSuppressionFixedC* inst, |
| uint16_t* nonSpeechProbFinal, |
| uint32_t* priorLocSnr, |
| uint32_t* postLocSnr) { |
| uint32_t zeros, num, den, tmpU32no1, tmpU32no2, tmpU32no3; |
| int32_t invLrtFX, indPriorFX, tmp32, tmp32no1, tmp32no2, besselTmpFX32; |
| int32_t frac32, logTmp; |
| int32_t logLrtTimeAvgKsumFX; |
| int16_t indPriorFX16; |
| int16_t tmp16, tmp16no1, tmp16no2, tmpIndFX, tableIndex, frac, intPart; |
| size_t i; |
| int normTmp, normTmp2, nShifts; |
| |
| // compute feature based on average LR factor |
| // this is the average over all frequencies of the smooth log LRT |
| logLrtTimeAvgKsumFX = 0; |
| for (i = 0; i < inst->magnLen; i++) { |
| besselTmpFX32 = (int32_t)postLocSnr[i]; // Q11 |
| normTmp = WebRtcSpl_NormU32(postLocSnr[i]); |
| num = postLocSnr[i] << normTmp; // Q(11+normTmp) |
| if (normTmp > 10) { |
| den = priorLocSnr[i] << (normTmp - 11); // Q(normTmp) |
| } else { |
| den = priorLocSnr[i] >> (11 - normTmp); // Q(normTmp) |
| } |
| if (den > 0) { |
| besselTmpFX32 -= num / den; // Q11 |
| } else { |
| besselTmpFX32 = 0; |
| } |
| |
| // inst->logLrtTimeAvg[i] += LRT_TAVG * (besselTmp - log(snrLocPrior) |
| // - inst->logLrtTimeAvg[i]); |
| // Here, LRT_TAVG = 0.5 |
| zeros = WebRtcSpl_NormU32(priorLocSnr[i]); |
| frac32 = (int32_t)(((priorLocSnr[i] << zeros) & 0x7FFFFFFF) >> 19); |
| tmp32 = (frac32 * frac32 * -43) >> 19; |
| tmp32 += ((int16_t)frac32 * 5412) >> 12; |
| frac32 = tmp32 + 37; |
| // tmp32 = log2(priorLocSnr[i]) |
| tmp32 = (int32_t)(((31 - zeros) << 12) + frac32) - (11 << 12); // Q12 |
| logTmp = (tmp32 * 178) >> 8; // log2(priorLocSnr[i])*log(2) |
| // tmp32no1 = LRT_TAVG * (log(snrLocPrior) + inst->logLrtTimeAvg[i]) in Q12. |
| tmp32no1 = (logTmp + inst->logLrtTimeAvgW32[i]) / 2; |
| inst->logLrtTimeAvgW32[i] += (besselTmpFX32 - tmp32no1); // Q12 |
| |
| logLrtTimeAvgKsumFX += inst->logLrtTimeAvgW32[i]; // Q12 |
| } |
| inst->featureLogLrt = (logLrtTimeAvgKsumFX * BIN_SIZE_LRT) >> |
| (inst->stages + 11); |
| |
| // done with computation of LR factor |
| |
| // |
| //compute the indicator functions |
| // |
| |
| // average LRT feature |
| // FLOAT code |
| // indicator0 = 0.5 * (tanh(widthPrior * |
| // (logLrtTimeAvgKsum - threshPrior0)) + 1.0); |
| tmpIndFX = 16384; // Q14(1.0) |
| tmp32no1 = logLrtTimeAvgKsumFX - inst->thresholdLogLrt; // Q12 |
| nShifts = 7 - inst->stages; // WIDTH_PR_MAP_SHIFT - inst->stages + 5; |
| //use larger width in tanh map for pause regions |
| if (tmp32no1 < 0) { |
| tmpIndFX = 0; |
| tmp32no1 = -tmp32no1; |
| //widthPrior = widthPrior * 2.0; |
| nShifts++; |
| } |
| tmp32no1 = WEBRTC_SPL_SHIFT_W32(tmp32no1, nShifts); // Q14 |
| // compute indicator function: sigmoid map |
| if (tmp32no1 < (16 << 14) && tmp32no1 >= 0) { |
| tableIndex = (int16_t)(tmp32no1 >> 14); |
| tmp16no2 = kIndicatorTable[tableIndex]; |
| tmp16no1 = kIndicatorTable[tableIndex + 1] - kIndicatorTable[tableIndex]; |
| frac = (int16_t)(tmp32no1 & 0x00003fff); // Q14 |
| tmp16no2 += (int16_t)((tmp16no1 * frac) >> 14); |
| if (tmpIndFX == 0) { |
| tmpIndFX = 8192 - tmp16no2; // Q14 |
| } else { |
| tmpIndFX = 8192 + tmp16no2; // Q14 |
| } |
| } |
| indPriorFX = inst->weightLogLrt * tmpIndFX; // 6*Q14 |
| |
| //spectral flatness feature |
| if (inst->weightSpecFlat) { |
| tmpU32no1 = WEBRTC_SPL_UMUL(inst->featureSpecFlat, 400); // Q10 |
| tmpIndFX = 16384; // Q14(1.0) |
| //use larger width in tanh map for pause regions |
| tmpU32no2 = inst->thresholdSpecFlat - tmpU32no1; //Q10 |
| nShifts = 4; |
| if (inst->thresholdSpecFlat < tmpU32no1) { |
| tmpIndFX = 0; |
| tmpU32no2 = tmpU32no1 - inst->thresholdSpecFlat; |
| //widthPrior = widthPrior * 2.0; |
| nShifts++; |
| } |
| tmpU32no1 = WebRtcSpl_DivU32U16(tmpU32no2 << nShifts, 25); // Q14 |
| // compute indicator function: sigmoid map |
| // FLOAT code |
| // indicator1 = 0.5 * (tanh(sgnMap * widthPrior * |
| // (threshPrior1 - tmpFloat1)) + 1.0); |
| if (tmpU32no1 < (16 << 14)) { |
| tableIndex = (int16_t)(tmpU32no1 >> 14); |
| tmp16no2 = kIndicatorTable[tableIndex]; |
| tmp16no1 = kIndicatorTable[tableIndex + 1] - kIndicatorTable[tableIndex]; |
| frac = (int16_t)(tmpU32no1 & 0x00003fff); // Q14 |
| tmp16no2 += (int16_t)((tmp16no1 * frac) >> 14); |
| if (tmpIndFX) { |
| tmpIndFX = 8192 + tmp16no2; // Q14 |
| } else { |
| tmpIndFX = 8192 - tmp16no2; // Q14 |
| } |
| } |
| indPriorFX += inst->weightSpecFlat * tmpIndFX; // 6*Q14 |
| } |
| |
| //for template spectral-difference |
| if (inst->weightSpecDiff) { |
| tmpU32no1 = 0; |
| if (inst->featureSpecDiff) { |
| normTmp = WEBRTC_SPL_MIN(20 - inst->stages, |
| WebRtcSpl_NormU32(inst->featureSpecDiff)); |
| RTC_DCHECK_GE(normTmp, 0); |
| tmpU32no1 = inst->featureSpecDiff << normTmp; // Q(normTmp-2*stages) |
| tmpU32no2 = inst->timeAvgMagnEnergy >> (20 - inst->stages - normTmp); |
| if (tmpU32no2 > 0) { |
| // Q(20 - inst->stages) |
| tmpU32no1 /= tmpU32no2; |
| } else { |
| tmpU32no1 = (uint32_t)(0x7fffffff); |
| } |
| } |
| tmpU32no3 = (inst->thresholdSpecDiff << 17) / 25; |
| tmpU32no2 = tmpU32no1 - tmpU32no3; |
| nShifts = 1; |
| tmpIndFX = 16384; // Q14(1.0) |
| //use larger width in tanh map for pause regions |
| if (tmpU32no2 & 0x80000000) { |
| tmpIndFX = 0; |
| tmpU32no2 = tmpU32no3 - tmpU32no1; |
| //widthPrior = widthPrior * 2.0; |
| nShifts--; |
| } |
| tmpU32no1 = tmpU32no2 >> nShifts; |
| // compute indicator function: sigmoid map |
| /* FLOAT code |
| indicator2 = 0.5 * (tanh(widthPrior * (tmpFloat1 - threshPrior2)) + 1.0); |
| */ |
| if (tmpU32no1 < (16 << 14)) { |
| tableIndex = (int16_t)(tmpU32no1 >> 14); |
| tmp16no2 = kIndicatorTable[tableIndex]; |
| tmp16no1 = kIndicatorTable[tableIndex + 1] - kIndicatorTable[tableIndex]; |
| frac = (int16_t)(tmpU32no1 & 0x00003fff); // Q14 |
| tmp16no2 += (int16_t)WEBRTC_SPL_MUL_16_16_RSFT_WITH_ROUND( |
| tmp16no1, frac, 14); |
| if (tmpIndFX) { |
| tmpIndFX = 8192 + tmp16no2; |
| } else { |
| tmpIndFX = 8192 - tmp16no2; |
| } |
| } |
| indPriorFX += inst->weightSpecDiff * tmpIndFX; // 6*Q14 |
| } |
| |
| //combine the indicator function with the feature weights |
| // FLOAT code |
| // indPrior = 1 - (weightIndPrior0 * indicator0 + weightIndPrior1 * |
| // indicator1 + weightIndPrior2 * indicator2); |
| indPriorFX16 = WebRtcSpl_DivW32W16ResW16(98307 - indPriorFX, 6); // Q14 |
| // done with computing indicator function |
| |
| //compute the prior probability |
| // FLOAT code |
| // inst->priorNonSpeechProb += PRIOR_UPDATE * |
| // (indPriorNonSpeech - inst->priorNonSpeechProb); |
| tmp16 = indPriorFX16 - inst->priorNonSpeechProb; // Q14 |
| inst->priorNonSpeechProb += (int16_t)((PRIOR_UPDATE_Q14 * tmp16) >> 14); |
| |
| //final speech probability: combine prior model with LR factor: |
| |
| memset(nonSpeechProbFinal, 0, sizeof(uint16_t) * inst->magnLen); |
| |
| if (inst->priorNonSpeechProb > 0) { |
| for (i = 0; i < inst->magnLen; i++) { |
| // FLOAT code |
| // invLrt = exp(inst->logLrtTimeAvg[i]); |
| // invLrt = inst->priorSpeechProb * invLrt; |
| // nonSpeechProbFinal[i] = (1.0 - inst->priorSpeechProb) / |
| // (1.0 - inst->priorSpeechProb + invLrt); |
| // invLrt = (1.0 - inst->priorNonSpeechProb) * invLrt; |
| // nonSpeechProbFinal[i] = inst->priorNonSpeechProb / |
| // (inst->priorNonSpeechProb + invLrt); |
| if (inst->logLrtTimeAvgW32[i] < 65300) { |
| tmp32no1 = (inst->logLrtTimeAvgW32[i] * 23637) >> 14; // Q12 |
| intPart = (int16_t)(tmp32no1 >> 12); |
| if (intPart < -8) { |
| intPart = -8; |
| } |
| frac = (int16_t)(tmp32no1 & 0x00000fff); // Q12 |
| |
| // Quadratic approximation of 2^frac |
| tmp32no2 = (frac * frac * 44) >> 19; // Q12. |
| tmp32no2 += (frac * 84) >> 7; // Q12 |
| invLrtFX = (1 << (8 + intPart)) + |
| WEBRTC_SPL_SHIFT_W32(tmp32no2, intPart - 4); // Q8 |
| |
| normTmp = WebRtcSpl_NormW32(invLrtFX); |
| normTmp2 = WebRtcSpl_NormW16((16384 - inst->priorNonSpeechProb)); |
| if (normTmp + normTmp2 >= 7) { |
| if (normTmp + normTmp2 < 15) { |
| invLrtFX >>= 15 - normTmp2 - normTmp; |
| // Q(normTmp+normTmp2-7) |
| tmp32no1 = invLrtFX * (16384 - inst->priorNonSpeechProb); |
| // Q(normTmp+normTmp2+7) |
| invLrtFX = WEBRTC_SPL_SHIFT_W32(tmp32no1, 7 - normTmp - normTmp2); |
| // Q14 |
| } else { |
| tmp32no1 = invLrtFX * (16384 - inst->priorNonSpeechProb); |
| // Q22 |
| invLrtFX = tmp32no1 >> 8; // Q14. |
| } |
| |
| tmp32no1 = (int32_t)inst->priorNonSpeechProb << 8; // Q22 |
| |
| nonSpeechProbFinal[i] = tmp32no1 / |
| (inst->priorNonSpeechProb + invLrtFX); // Q8 |
| } |
| } |
| } |
| } |
| } |
| |
