Revert "RNN VAD: Replace Ooura with PFFFT for the pitch auto correlation."

This reverts commit 8fcd6537f242ffd74154a62dad410e573e2efc4b.

Reason for revert: broke internal projects.

Original change's description:
> RNN VAD: Replace Ooura with PFFFT for the pitch auto correlation.
> 
> Bug: webrtc:9577, webrtc:10480
> Change-Id: I6d58866d48b8eaaa4102551b88d4f55133d1915c
> Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/130482
> Commit-Queue: Alessio Bazzica <alessiob@webrtc.org>
> Reviewed-by: Gustaf Ullberg <gustaf@webrtc.org>
> Cr-Commit-Position: refs/heads/master@{#27387}

TBR=gustaf@webrtc.org,alessiob@webrtc.org

Change-Id: Ia05057326ebc277f334b13db0bfec9d4442903c2
No-Presubmit: true
No-Tree-Checks: true
No-Try: true
Bug: webrtc:9577, webrtc:10480
Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/130369
Reviewed-by: Qingsi Wang <qingsi@webrtc.org>
Commit-Queue: Qingsi Wang <qingsi@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#27405}
This commit is contained in:
Qingsi Wang
2019-04-01 20:30:53 +00:00
committed by Commit Bot
parent e9cda52611
commit d38ce9f824
12 changed files with 181 additions and 272 deletions

View File

@ -11,8 +11,6 @@ import("../../../../webrtc.gni")
rtc_source_set("rnn_vad") {
visibility = [ "../*" ]
sources = [
"auto_correlation.cc",
"auto_correlation.h",
"common.h",
"features_extraction.cc",
"features_extraction.h",
@ -39,9 +37,9 @@ rtc_source_set("rnn_vad") {
"..:biquad_filter",
"../../../../api:array_view",
"../../../../api:function_view",
"../../../../common_audio/",
"../../../../rtc_base:checks",
"../../../../rtc_base:rtc_base_approved",
"../../utility:pffft_wrapper",
"//third_party/rnnoise:kiss_fft",
"//third_party/rnnoise:rnn_vad",
]
@ -55,7 +53,6 @@ if (rtc_include_tests) {
"test_utils.h",
]
deps = [
":rnn_vad",
"../../../../api:array_view",
"../../../../api:scoped_refptr",
"../../../../rtc_base:checks",
@ -89,7 +86,6 @@ if (rtc_include_tests) {
rtc_source_set("unittests") {
testonly = true
sources = [
"auto_correlation_unittest.cc",
"features_extraction_unittest.cc",
"fft_util_unittest.cc",
"lp_residual_unittest.cc",

View File

@ -1,92 +0,0 @@
/*
* Copyright (c) 2019 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 "modules/audio_processing/agc2/rnn_vad/auto_correlation.h"
#include <algorithm>
#include "rtc_base/checks.h"
namespace webrtc {
namespace rnn_vad {
namespace {
constexpr int kAutoCorrelationFftOrder = 9; // Length-512 FFT.
static_assert(1 << kAutoCorrelationFftOrder >
kNumInvertedLags12kHz + kBufSize12kHz - kMaxPitch12kHz,
"");
} // namespace
AutoCorrelationCalculator::AutoCorrelationCalculator()
: fft_(1 << kAutoCorrelationFftOrder, Pffft::FftType::kReal),
tmp_(fft_.CreateBuffer()),
X_(fft_.CreateBuffer()),
H_(fft_.CreateBuffer()) {}
AutoCorrelationCalculator::~AutoCorrelationCalculator() = default;
// The auto-correlations coefficients are computed as follows:
// |.........|...........| <- pitch buffer
// [ x (fixed) ]
// [ y_0 ]
// [ y_{m-1} ]
// x and y are sub-array of equal length; x is never moved, whereas y slides.
// The cross-correlation between y_0 and x corresponds to the auto-correlation
// for the maximum pitch period. Hence, the first value in |auto_corr| has an
// inverted lag equal to 0 that corresponds to a lag equal to the maximum
// pitch period.
void AutoCorrelationCalculator::ComputeOnPitchBuffer(
rtc::ArrayView<const float, kBufSize12kHz> pitch_buf,
rtc::ArrayView<float, kNumInvertedLags12kHz> auto_corr) {
RTC_DCHECK_LT(auto_corr.size(), kMaxPitch12kHz);
RTC_DCHECK_GT(pitch_buf.size(), kMaxPitch12kHz);
constexpr size_t kFftFrameSize = 1 << kAutoCorrelationFftOrder;
constexpr size_t kConvolutionLength = kBufSize12kHz - kMaxPitch12kHz;
static_assert(kConvolutionLength == kFrameSize20ms12kHz,
"Mismatch between pitch buffer size, frame size and maximum "
"pitch period.");
static_assert(kFftFrameSize > kNumInvertedLags12kHz + kConvolutionLength,
"The FFT length is not sufficiently big to avoid cyclic "
"convolution errors.");
auto tmp = tmp_->GetView();
// Compute the FFT for the reversed reference frame - i.e.,
// pitch_buf[-kConvolutionLength:].
std::reverse_copy(pitch_buf.end() - kConvolutionLength, pitch_buf.end(),
tmp.begin());
std::fill(tmp.begin() + kConvolutionLength, tmp.end(), 0.f);
fft_.ForwardTransform(*tmp_, H_.get(), /*ordered=*/false);
// Compute the FFT for the sliding frames chunk. The sliding frames are
// defined as pitch_buf[i:i+kConvolutionLength] where i in
// [0, kNumInvertedLags12kHz). The chunk includes all of them, hence it is
// defined as pitch_buf[:kNumInvertedLags12kHz+kConvolutionLength].
std::copy(pitch_buf.begin(),
pitch_buf.begin() + kConvolutionLength + kNumInvertedLags12kHz,
tmp.begin());
std::fill(tmp.begin() + kNumInvertedLags12kHz + kConvolutionLength, tmp.end(),
0.f);
fft_.ForwardTransform(*tmp_, X_.get(), /*ordered=*/false);
// Convolve in the frequency domain.
constexpr float kScalingFactor = 1.f / static_cast<float>(kFftFrameSize);
std::fill(tmp.begin(), tmp.end(), 0.f);
fft_.FrequencyDomainConvolve(*X_, *H_, tmp_.get(), kScalingFactor);
fft_.BackwardTransform(*tmp_, tmp_.get(), /*ordered=*/false);
// Extract the auto-correlation coefficients.
std::copy(tmp.begin() + kConvolutionLength - 1,
tmp.begin() + kConvolutionLength + kNumInvertedLags12kHz - 1,
auto_corr.begin());
}
} // namespace rnn_vad
} // namespace webrtc

View File

@ -1,49 +0,0 @@
/*
* Copyright (c) 2019 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.
*/
#ifndef MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_AUTO_CORRELATION_H_
#define MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_AUTO_CORRELATION_H_
#include <memory>
#include "api/array_view.h"
#include "modules/audio_processing/agc2/rnn_vad/common.h"
#include "modules/audio_processing/utility/pffft_wrapper.h"
namespace webrtc {
namespace rnn_vad {
// Class to compute the auto correlation on the pitch buffer for a target pitch
// interval.
class AutoCorrelationCalculator {
public:
AutoCorrelationCalculator();
AutoCorrelationCalculator(const AutoCorrelationCalculator&) = delete;
AutoCorrelationCalculator& operator=(const AutoCorrelationCalculator&) =
delete;
~AutoCorrelationCalculator();
// Computes the auto-correlation coefficients for a target pitch interval.
// |auto_corr| indexes are inverted lags.
void ComputeOnPitchBuffer(
rtc::ArrayView<const float, kBufSize12kHz> pitch_buf,
rtc::ArrayView<float, kNumInvertedLags12kHz> auto_corr);
private:
Pffft fft_;
std::unique_ptr<Pffft::FloatBuffer> tmp_;
std::unique_ptr<Pffft::FloatBuffer> X_;
std::unique_ptr<Pffft::FloatBuffer> H_;
};
} // namespace rnn_vad
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_AUTO_CORRELATION_H_

View File

@ -1,62 +0,0 @@
/*
* Copyright (c) 2019 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 "modules/audio_processing/agc2/rnn_vad/auto_correlation.h"
#include "modules/audio_processing/agc2/rnn_vad/pitch_search_internal.h"
#include "modules/audio_processing/agc2/rnn_vad/test_utils.h"
#include "test/gtest.h"
namespace webrtc {
namespace rnn_vad {
namespace test {
TEST(RnnVadTest, PitchBufferAutoCorrelationWithinTolerance) {
PitchTestData test_data;
std::array<float, kBufSize12kHz> pitch_buf_decimated;
Decimate2x(test_data.GetPitchBufView(), pitch_buf_decimated);
std::array<float, kNumPitchBufAutoCorrCoeffs> computed_output;
{
// TODO(bugs.webrtc.org/8948): Add when the issue is fixed.
// FloatingPointExceptionObserver fpe_observer;
AutoCorrelationCalculator auto_corr_calculator;
auto_corr_calculator.ComputeOnPitchBuffer(pitch_buf_decimated,
computed_output);
}
auto auto_corr_view = test_data.GetPitchBufAutoCorrCoeffsView();
ExpectNearAbsolute({auto_corr_view.data(), auto_corr_view.size()},
computed_output, 3e-3f);
}
// Check that the auto correlation function computes the right thing for a
// simple use case.
TEST(RnnVadTest, CheckAutoCorrelationOnConstantPitchBuffer) {
// Create constant signal with no pitch.
std::array<float, kBufSize12kHz> pitch_buf_decimated;
std::fill(pitch_buf_decimated.begin(), pitch_buf_decimated.end(), 1.f);
std::array<float, kNumPitchBufAutoCorrCoeffs> computed_output;
{
// TODO(bugs.webrtc.org/8948): Add when the issue is fixed.
// FloatingPointExceptionObserver fpe_observer;
AutoCorrelationCalculator auto_corr_calculator;
auto_corr_calculator.ComputeOnPitchBuffer(pitch_buf_decimated,
computed_output);
}
// The expected output is constantly the length of the fixed 'x'
// array in ComputePitchAutoCorrelation.
std::array<float, kNumPitchBufAutoCorrCoeffs> expected_output;
std::fill(expected_output.begin(), expected_output.end(),
kBufSize12kHz - kMaxPitch12kHz);
ExpectNearAbsolute(expected_output, computed_output, 4e-5f);
}
} // namespace test
} // namespace rnn_vad
} // namespace webrtc

View File

@ -20,21 +20,18 @@ constexpr size_t kSampleRate24kHz = 24000;
constexpr size_t kFrameSize10ms24kHz = kSampleRate24kHz / 100;
constexpr size_t kFrameSize20ms24kHz = kFrameSize10ms24kHz * 2;
// Pitch buffer.
// Pitch analysis params.
constexpr size_t kMinPitch24kHz = kSampleRate24kHz / 800; // 0.00125 s.
constexpr size_t kMaxPitch24kHz = kSampleRate24kHz / 62.5; // 0.016 s.
constexpr size_t kBufSize24kHz = kMaxPitch24kHz + kFrameSize20ms24kHz;
static_assert((kBufSize24kHz & 1) == 0, "The buffer size must be even.");
// 24 kHz analysis.
// Define a higher minimum pitch period for the initial search. This is used to
// avoid searching for very short periods, for which a refinement step is
// responsible.
constexpr size_t kInitialMinPitch24kHz = 3 * kMinPitch24kHz;
static_assert(kMinPitch24kHz < kInitialMinPitch24kHz, "");
static_assert(kInitialMinPitch24kHz < kMaxPitch24kHz, "");
static_assert(kMaxPitch24kHz > kInitialMinPitch24kHz, "");
constexpr size_t kNumInvertedLags24kHz = kMaxPitch24kHz - kInitialMinPitch24kHz;
// 12 kHz analysis.
constexpr size_t kSampleRate12kHz = 12000;
@ -43,10 +40,6 @@ constexpr size_t kFrameSize20ms12kHz = kFrameSize10ms12kHz * 2;
constexpr size_t kBufSize12kHz = kBufSize24kHz / 2;
constexpr size_t kInitialMinPitch12kHz = kInitialMinPitch24kHz / 2;
constexpr size_t kMaxPitch12kHz = kMaxPitch24kHz / 2;
static_assert(kMaxPitch12kHz > kInitialMinPitch12kHz, "");
// The inverted lags for the pitch interval [|kInitialMinPitch12kHz|,
// |kMaxPitch12kHz|] are in the range [0, |kNumInvertedLags12kHz|].
constexpr size_t kNumInvertedLags12kHz = kMaxPitch12kHz - kInitialMinPitch12kHz;
// 48 kHz constants.
constexpr size_t kMinPitch48kHz = kMinPitch24kHz * 2;

View File

@ -19,7 +19,8 @@ namespace webrtc {
namespace rnn_vad {
PitchEstimator::PitchEstimator()
: pitch_buf_decimated_(kBufSize12kHz),
: fft_(RealFourier::Create(kAutoCorrelationFftOrder)),
pitch_buf_decimated_(kBufSize12kHz),
pitch_buf_decimated_view_(pitch_buf_decimated_.data(), kBufSize12kHz),
auto_corr_(kNumInvertedLags12kHz),
auto_corr_view_(auto_corr_.data(), kNumInvertedLags12kHz) {
@ -33,16 +34,20 @@ PitchInfo PitchEstimator::Estimate(
rtc::ArrayView<const float, kBufSize24kHz> pitch_buf) {
// Perform the initial pitch search at 12 kHz.
Decimate2x(pitch_buf, pitch_buf_decimated_view_);
auto_corr_calculator_.ComputeOnPitchBuffer(pitch_buf_decimated_view_,
auto_corr_view_);
// Compute auto-correlation terms.
ComputePitchAutoCorrelation(pitch_buf_decimated_view_, kMaxPitch12kHz,
auto_corr_view_, fft_.get());
// Search for pitch at 12 kHz.
std::array<size_t, 2> pitch_candidates_inv_lags = FindBestPitchPeriods(
auto_corr_view_, pitch_buf_decimated_view_, kMaxPitch12kHz);
// Refine the pitch period estimation.
// The refinement is done using the pitch buffer that contains 24 kHz samples.
// Therefore, adapt the inverted lags in |pitch_candidates_inv_lags| from 12
// to 24 kHz.
pitch_candidates_inv_lags[0] *= 2;
pitch_candidates_inv_lags[1] *= 2;
for (size_t i = 0; i < pitch_candidates_inv_lags.size(); ++i)
pitch_candidates_inv_lags[i] *= 2;
size_t pitch_inv_lag_48kHz =
RefinePitchPeriod48kHz(pitch_buf, pitch_candidates_inv_lags);
// Look for stronger harmonics to find the final pitch period and its gain.

View File

@ -15,7 +15,7 @@
#include <vector>
#include "api/array_view.h"
#include "modules/audio_processing/agc2/rnn_vad/auto_correlation.h"
#include "common_audio/real_fourier.h"
#include "modules/audio_processing/agc2/rnn_vad/common.h"
#include "modules/audio_processing/agc2/rnn_vad/pitch_info.h"
#include "modules/audio_processing/agc2/rnn_vad/pitch_search_internal.h"
@ -36,7 +36,7 @@ class PitchEstimator {
private:
PitchInfo last_pitch_48kHz_;
AutoCorrelationCalculator auto_corr_calculator_;
std::unique_ptr<RealFourier> fft_;
std::vector<float> pitch_buf_decimated_;
rtc::ArrayView<float, kBufSize12kHz> pitch_buf_decimated_view_;
std::vector<float> auto_corr_;

View File

@ -13,6 +13,7 @@
#include <stdlib.h>
#include <algorithm>
#include <cmath>
#include <complex>
#include <cstddef>
#include <numeric>
@ -212,6 +213,64 @@ void ComputeSlidingFrameSquareEnergies(
}
}
void ComputePitchAutoCorrelation(
rtc::ArrayView<const float, kBufSize12kHz> pitch_buf,
size_t max_pitch_period,
rtc::ArrayView<float, kNumInvertedLags12kHz> auto_corr,
webrtc::RealFourier* fft) {
RTC_DCHECK_GT(max_pitch_period, auto_corr.size());
RTC_DCHECK_LT(max_pitch_period, pitch_buf.size());
RTC_DCHECK(fft);
constexpr size_t time_domain_fft_length = 1 << kAutoCorrelationFftOrder;
constexpr size_t freq_domain_fft_length = time_domain_fft_length / 2 + 1;
RTC_DCHECK_EQ(RealFourier::FftLength(fft->order()), time_domain_fft_length);
RTC_DCHECK_EQ(RealFourier::ComplexLength(fft->order()),
freq_domain_fft_length);
// Cross-correlation of y_i=pitch_buf[i:i+convolution_length] and
// x=pitch_buf[-convolution_length:] is equivalent to convolution of
// y_i and reversed(x). New notation: h=reversed(x), x=y.
std::array<float, time_domain_fft_length> h{};
std::array<float, time_domain_fft_length> x{};
const size_t convolution_length = kBufSize12kHz - max_pitch_period;
// Check that the FFT-length is big enough to avoid cyclic
// convolution errors.
RTC_DCHECK_GT(time_domain_fft_length,
kNumInvertedLags12kHz + convolution_length);
// h[0:convolution_length] is reversed pitch_buf[-convolution_length:].
std::reverse_copy(pitch_buf.end() - convolution_length, pitch_buf.end(),
h.begin());
// x is pitch_buf[:kNumInvertedLags12kHz + convolution_length].
std::copy(pitch_buf.begin(),
pitch_buf.begin() + kNumInvertedLags12kHz + convolution_length,
x.begin());
// Shift to frequency domain.
std::array<std::complex<float>, freq_domain_fft_length> X{};
std::array<std::complex<float>, freq_domain_fft_length> H{};
fft->Forward(&x[0], &X[0]);
fft->Forward(&h[0], &H[0]);
// Convolve in frequency domain.
for (size_t i = 0; i < X.size(); ++i) {
X[i] *= H[i];
}
// Shift back to time domain.
std::array<float, time_domain_fft_length> x_conv_h;
fft->Inverse(&X[0], &x_conv_h[0]);
// Collect the result.
std::copy(x_conv_h.begin() + convolution_length - 1,
x_conv_h.begin() + convolution_length + kNumInvertedLags12kHz - 1,
auto_corr.begin());
}
std::array<size_t, 2> FindBestPitchPeriods(
rtc::ArrayView<const float> auto_corr,
rtc::ArrayView<const float> pitch_buf,

View File

@ -15,12 +15,25 @@
#include <array>
#include "api/array_view.h"
#include "common_audio/real_fourier.h"
#include "modules/audio_processing/agc2/rnn_vad/common.h"
#include "modules/audio_processing/agc2/rnn_vad/pitch_info.h"
namespace webrtc {
namespace rnn_vad {
// The inverted lags for the pitch interval [|kInitialMinPitch12kHz|,
// |kMaxPitch12kHz|] are in the range [0, |kNumInvertedLags|].
static_assert(kMaxPitch12kHz > kInitialMinPitch12kHz, "");
static_assert(kMaxPitch24kHz > kInitialMinPitch24kHz, "");
constexpr size_t kNumInvertedLags12kHz = kMaxPitch12kHz - kInitialMinPitch12kHz;
constexpr size_t kNumInvertedLags24kHz = kMaxPitch24kHz - kInitialMinPitch24kHz;
constexpr int kAutoCorrelationFftOrder = 9; // Length-512 FFT.
static_assert(1 << kAutoCorrelationFftOrder >
kNumInvertedLags12kHz + kBufSize12kHz - kMaxPitch12kHz,
"");
// Performs 2x decimation without any anti-aliasing filter.
void Decimate2x(rtc::ArrayView<const float, kBufSize24kHz> src,
rtc::ArrayView<float, kBufSize12kHz> dst);
@ -48,6 +61,25 @@ void ComputeSlidingFrameSquareEnergies(
rtc::ArrayView<const float, kBufSize24kHz> pitch_buf,
rtc::ArrayView<float, kMaxPitch24kHz + 1> yy_values);
// Computes the auto-correlation coefficients for a given pitch interval.
// |auto_corr| indexes are inverted lags.
//
// The auto-correlations coefficients are computed as follows:
// |.........|...........| <- pitch buffer
// [ x (fixed) ]
// [ y_0 ]
// [ y_{m-1} ]
// x and y are sub-array of equal length; x is never moved, whereas y slides.
// The cross-correlation between y_0 and x corresponds to the auto-correlation
// for the maximum pitch period. Hence, the first value in |auto_corr| has an
// inverted lag equal to 0 that corresponds to a lag equal to the maximum pitch
// period.
void ComputePitchAutoCorrelation(
rtc::ArrayView<const float, kBufSize12kHz> pitch_buf,
size_t max_pitch_period,
rtc::ArrayView<float, kNumInvertedLags12kHz> auto_corr,
webrtc::RealFourier* fft);
// Given the auto-correlation coefficients stored according to
// ComputePitchAutoCorrelation() (i.e., using inverted lags), returns the best
// and the second best pitch periods.

View File

@ -9,6 +9,7 @@
*/
#include "modules/audio_processing/agc2/rnn_vad/pitch_search_internal.h"
#include "common_audio/real_fourier.h"
#include <array>
#include <tuple>
@ -29,6 +30,34 @@ constexpr std::array<int, 2> kTestPitchPeriods = {
};
constexpr std::array<float, 2> kTestPitchGains = {0.35f, 0.75f};
constexpr size_t kNumPitchBufSquareEnergies = 385;
constexpr size_t kNumPitchBufAutoCorrCoeffs = 147;
constexpr size_t kTestDataSize =
kBufSize24kHz + kNumPitchBufSquareEnergies + kNumPitchBufAutoCorrCoeffs;
class TestData {
public:
TestData() {
auto test_data_reader = CreatePitchSearchTestDataReader();
test_data_reader->ReadChunk(test_data_);
}
rtc::ArrayView<const float, kBufSize24kHz> GetPitchBufView() {
return {test_data_.data(), kBufSize24kHz};
}
rtc::ArrayView<const float, kNumPitchBufSquareEnergies>
GetPitchBufSquareEnergiesView() {
return {test_data_.data() + kBufSize24kHz, kNumPitchBufSquareEnergies};
}
rtc::ArrayView<const float, kNumPitchBufAutoCorrCoeffs>
GetPitchBufAutoCorrCoeffsView() {
return {test_data_.data() + kBufSize24kHz + kNumPitchBufSquareEnergies,
kNumPitchBufAutoCorrCoeffs};
}
private:
std::array<float, kTestDataSize> test_data_;
};
} // namespace
class ComputePitchGainThresholdTest
@ -78,7 +107,7 @@ INSTANTIATE_TEST_SUITE_P(
std::make_tuple(78, 2, 156, 0.72750503f, 153, 0.85069299f, 0.618379f)));
TEST(RnnVadTest, ComputeSlidingFrameSquareEnergiesBitExactness) {
PitchTestData test_data;
TestData test_data;
std::array<float, kNumPitchBufSquareEnergies> computed_output;
{
// TODO(bugs.webrtc.org/8948): Add when the issue is fixed.
@ -91,8 +120,51 @@ TEST(RnnVadTest, ComputeSlidingFrameSquareEnergiesBitExactness) {
computed_output, 3e-2f);
}
TEST(RnnVadTest, ComputePitchAutoCorrelationBitExactness) {
TestData test_data;
std::array<float, kBufSize12kHz> pitch_buf_decimated;
Decimate2x(test_data.GetPitchBufView(), pitch_buf_decimated);
std::array<float, kNumPitchBufAutoCorrCoeffs> computed_output;
{
// TODO(bugs.webrtc.org/8948): Add when the issue is fixed.
// FloatingPointExceptionObserver fpe_observer;
std::unique_ptr<RealFourier> fft =
RealFourier::Create(kAutoCorrelationFftOrder);
ComputePitchAutoCorrelation(pitch_buf_decimated, kMaxPitch12kHz,
computed_output, fft.get());
}
auto auto_corr_view = test_data.GetPitchBufAutoCorrCoeffsView();
ExpectNearAbsolute({auto_corr_view.data(), auto_corr_view.size()},
computed_output, 3e-3f);
}
// Check that the auto correlation function computes the right thing for a
// simple use case.
TEST(RnnVadTest, ComputePitchAutoCorrelationConstantBuffer) {
// Create constant signal with no pitch.
std::array<float, kBufSize12kHz> pitch_buf_decimated;
std::fill(pitch_buf_decimated.begin(), pitch_buf_decimated.end(), 1.f);
std::array<float, kNumPitchBufAutoCorrCoeffs> computed_output;
{
// TODO(bugs.webrtc.org/8948): Add when the issue is fixed.
// FloatingPointExceptionObserver fpe_observer;
std::unique_ptr<RealFourier> fft =
RealFourier::Create(kAutoCorrelationFftOrder);
ComputePitchAutoCorrelation(pitch_buf_decimated, kMaxPitch12kHz,
computed_output, fft.get());
}
// The expected output is constantly the length of the fixed 'x'
// array in ComputePitchAutoCorrelation.
std::array<float, kNumPitchBufAutoCorrCoeffs> expected_output;
std::fill(expected_output.begin(), expected_output.end(),
kBufSize12kHz - kMaxPitch12kHz);
ExpectNearAbsolute(expected_output, computed_output, 4e-5f);
}
TEST(RnnVadTest, FindBestPitchPeriodsBitExactness) {
PitchTestData test_data;
TestData test_data;
std::array<float, kBufSize12kHz> pitch_buf_decimated;
Decimate2x(test_data.GetPitchBufView(), pitch_buf_decimated);
std::array<size_t, 2> pitch_candidates_inv_lags;
@ -109,7 +181,7 @@ TEST(RnnVadTest, FindBestPitchPeriodsBitExactness) {
}
TEST(RnnVadTest, RefinePitchPeriod48kHzBitExactness) {
PitchTestData test_data;
TestData test_data;
std::array<float, kBufSize12kHz> pitch_buf_decimated;
Decimate2x(test_data.GetPitchBufView(), pitch_buf_decimated);
size_t pitch_inv_lag;
@ -135,7 +207,7 @@ TEST_P(CheckLowerPitchPeriodsAndComputePitchGainTest, BitExactness) {
const float prev_pitch_gain = std::get<2>(params);
const int expected_pitch_period = std::get<3>(params);
const float expected_pitch_gain = std::get<4>(params);
PitchTestData test_data;
TestData test_data;
{
// TODO(bugs.webrtc.org/8948): Add when the issue is fixed.
// FloatingPointExceptionObserver fpe_observer;

View File

@ -111,28 +111,6 @@ ReaderPairType CreateVadProbsReader() {
return {std::move(ptr), ptr->data_length()};
}
PitchTestData::PitchTestData() {
auto test_data_reader = CreatePitchSearchTestDataReader();
test_data_reader->ReadChunk(test_data_);
}
PitchTestData::~PitchTestData() = default;
rtc::ArrayView<const float, kBufSize24kHz> PitchTestData::GetPitchBufView() {
return {test_data_.data(), kBufSize24kHz};
}
rtc::ArrayView<const float, kNumPitchBufSquareEnergies>
PitchTestData::GetPitchBufSquareEnergiesView() {
return {test_data_.data() + kBufSize24kHz, kNumPitchBufSquareEnergies};
}
rtc::ArrayView<const float, kNumPitchBufAutoCorrCoeffs>
PitchTestData::GetPitchBufAutoCorrCoeffsView() {
return {test_data_.data() + kBufSize24kHz + kNumPitchBufSquareEnergies,
kNumPitchBufAutoCorrCoeffs};
}
} // namespace test
} // namespace rnn_vad
} // namespace webrtc

View File

@ -12,7 +12,6 @@
#define MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_TEST_UTILS_H_
#include <algorithm>
#include <array>
#include <fstream>
#include <limits>
#include <memory>
@ -21,7 +20,6 @@
#include <vector>
#include "api/array_view.h"
#include "modules/audio_processing/agc2/rnn_vad/common.h"
#include "rtc_base/checks.h"
namespace webrtc {
@ -120,27 +118,6 @@ CreateSilenceFlagsFeatureMatrixReader();
std::pair<std::unique_ptr<BinaryFileReader<float>>, const size_t>
CreateVadProbsReader();
constexpr size_t kNumPitchBufAutoCorrCoeffs = 147;
constexpr size_t kNumPitchBufSquareEnergies = 385;
constexpr size_t kPitchTestDataSize =
kBufSize24kHz + kNumPitchBufSquareEnergies + kNumPitchBufAutoCorrCoeffs;
// Class to retrieve a test pitch buffer content and the expected output for the
// analysis steps.
class PitchTestData {
public:
PitchTestData();
~PitchTestData();
rtc::ArrayView<const float, kBufSize24kHz> GetPitchBufView();
rtc::ArrayView<const float, kNumPitchBufSquareEnergies>
GetPitchBufSquareEnergiesView();
rtc::ArrayView<const float, kNumPitchBufAutoCorrCoeffs>
GetPitchBufAutoCorrCoeffsView();
private:
std::array<float, kPitchTestDataSize> test_data_;
};
} // namespace test
} // namespace rnn_vad
} // namespace webrtc