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NetEQ: GenerateBackgroundNoise moved to BackgrounNoise

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Bug: webrtc:10548
Change-Id: Ie9da0755793078b81c60c3751abcbff13da40ede
Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/132788
Commit-Queue: Alessio Bazzica <alessiob@webrtc.org>
Reviewed-by: Henrik Lundin <henrik.lundin@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#27619}
This commit is contained in:
Alessio Bazzica
2019-04-15 12:32:23 +02:00
committed by Commit Bot
parent 9a2ca0a9d8
commit 7e53be0555
4 changed files with 74 additions and 67 deletions
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52
modules/audio_coding/neteq/expand.cc
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@ -292,7 +292,7 @@ int Expand::Process(AudioMultiVector* output) {
}
// Background noise part.
GenerateBackgroundNoise(
background_noise_->GenerateBackgroundNoise(
random_vector, channel_ix, channel_parameters_[channel_ix].mute_slope,
TooManyExpands(), current_lag, unvoiced_array_memory);
@ -860,56 +860,6 @@ Expand* ExpandFactory::Create(BackgroundNoise* background_noise,
fs, num_channels);
}
// TODO(turajs): This can be moved to BackgroundNoise class.
void Expand::GenerateBackgroundNoise(int16_t* random_vector,
size_t channel,
int mute_slope,
bool too_many_expands,
size_t num_noise_samples,
int16_t* buffer) {
static const size_t kNoiseLpcOrder = BackgroundNoise::kMaxLpcOrder;
int16_t scaled_random_vector[kMaxSampleRate / 8000 * 125];
assert(num_noise_samples <= (kMaxSampleRate / 8000 * 125));
int16_t* noise_samples = &buffer[kNoiseLpcOrder];
if (background_noise_->initialized()) {
// Use background noise parameters.
memcpy(noise_samples - kNoiseLpcOrder,
background_noise_->FilterState(channel),
sizeof(int16_t) * kNoiseLpcOrder);
int dc_offset = 0;
if (background_noise_->ScaleShift(channel) > 1) {
dc_offset = 1 << (background_noise_->ScaleShift(channel) - 1);
}
// Scale random vector to correct energy level.
WebRtcSpl_AffineTransformVector(
scaled_random_vector, random_vector, background_noise_->Scale(channel),
dc_offset, background_noise_->ScaleShift(channel), num_noise_samples);
WebRtcSpl_FilterARFastQ12(scaled_random_vector, noise_samples,
background_noise_->Filter(channel),
kNoiseLpcOrder + 1, num_noise_samples);
background_noise_->SetFilterState(
channel, &(noise_samples[num_noise_samples - kNoiseLpcOrder]),
kNoiseLpcOrder);
// Unmute the background noise.
int16_t bgn_mute_factor = background_noise_->MuteFactor(channel);
if (bgn_mute_factor < 16384) {
WebRtcSpl_AffineTransformVector(noise_samples, noise_samples,
bgn_mute_factor, 8192, 14,
num_noise_samples);
}
// Update mute_factor in BackgroundNoise class.
background_noise_->SetMuteFactor(channel, bgn_mute_factor);
} else {
// BGN parameters have not been initialized; use zero noise.
memset(noise_samples, 0, sizeof(int16_t) * num_noise_samples);
}
}
void Expand::GenerateRandomVector(int16_t seed_increment,
size_t length,
int16_t* random_vector) {