| Index: webrtc/modules/audio_processing/rms_level.cc
|
| diff --git a/webrtc/modules/audio_processing/rms_level.cc b/webrtc/modules/audio_processing/rms_level.cc
|
| index 957a7b5839b9d607f5120567d2b67939333cdc2e..f77357a0006d9d8fcaa5ba5c277f3220330ba73f 100644
|
| --- a/webrtc/modules/audio_processing/rms_level.cc
|
| +++ b/webrtc/modules/audio_processing/rms_level.cc
|
| @@ -11,52 +11,98 @@
|
| #include "webrtc/modules/audio_processing/rms_level.h"
|
|
|
| #include <math.h>
|
| +#include <algorithm>
|
| +#include <numeric>
|
|
|
| #include "webrtc/base/checks.h"
|
|
|
| namespace webrtc {
|
| +namespace {
|
| +static constexpr float kMaxSquaredLevel = 32768 * 32768;
|
| +static constexpr int kMinLevelDb = 127;
|
| +// kMinLevel is the level corresponding to kMinLevelDb, that is 10^(-127/10).
|
| +static constexpr float kMinLevel = 1.995262314968883e-13f;
|
|
|
| -static const float kMaxSquaredLevel = 32768 * 32768;
|
| +// Calculates the normalized RMS value from a mean square value. The input
|
| +// should be the sum of squared samples divided by the number of samples. The
|
| +// value will be normalized to full range before computing the RMS, wich is
|
| +// returned as a negated dBfs. That is, 0 is full amplitude while 127 is very
|
| +// faint.
|
| +int ComputeRms(float mean_square) {
|
| + if (mean_square <= kMinLevel * kMaxSquaredLevel) {
|
| + // Very faint; simply return the minimum value.
|
| + return kMinLevelDb;
|
| + }
|
| + // Normalize by the max level.
|
| + const float mean_square_norm = mean_square / kMaxSquaredLevel;
|
| + RTC_DCHECK_GT(mean_square_norm, kMinLevel);
|
| + // 20log_10(x^0.5) = 10log_10(x)
|
| + const float rms = 10.f * log10(mean_square_norm);
|
| + RTC_DCHECK_LE(rms, 0.f);
|
| + RTC_DCHECK_GT(rms, -kMinLevelDb);
|
| + // Return the negated value.
|
| + return static_cast<int>(-rms + 0.5f);
|
| +}
|
| +} // namespace
|
|
|
| -RMSLevel::RMSLevel()
|
| - : sum_square_(0),
|
| - sample_count_(0) {}
|
| +RmsLevel::RmsLevel() {
|
| + Reset();
|
| +}
|
|
|
| -RMSLevel::~RMSLevel() {}
|
| +RmsLevel::~RmsLevel() = default;
|
|
|
| -void RMSLevel::Reset() {
|
| - sum_square_ = 0;
|
| +void RmsLevel::Reset() {
|
| + sum_square_ = 0.f;
|
| sample_count_ = 0;
|
| + max_sum_square_ = 0.f;
|
| + block_size_ = rtc::Optional<size_t>();
|
| }
|
|
|
| -void RMSLevel::Process(const int16_t* data, size_t length) {
|
| - for (size_t i = 0; i < length; ++i) {
|
| - sum_square_ += data[i] * data[i];
|
| +void RmsLevel::Analyze(rtc::ArrayView<const int16_t> data) {
|
| + if (data.empty()) {
|
| + return;
|
| }
|
| - sample_count_ += length;
|
| +
|
| + CheckBlockSize(data.size());
|
| +
|
| + const float sum_square =
|
| + std::accumulate(data.begin(), data.end(), 0.f,
|
| + [](float a, int16_t b) { return a + b * b; });
|
| + RTC_DCHECK_GE(sum_square, 0.f);
|
| + sum_square_ += sum_square;
|
| + sample_count_ += data.size();
|
| +
|
| + max_sum_square_ = std::max(max_sum_square_, sum_square);
|
| }
|
|
|
| -void RMSLevel::ProcessMuted(size_t length) {
|
| +void RmsLevel::AnalyzeMuted(size_t length) {
|
| + CheckBlockSize(length);
|
| sample_count_ += length;
|
| }
|
|
|
| -int RMSLevel::RMS() {
|
| - if (sample_count_ == 0 || sum_square_ == 0) {
|
| - Reset();
|
| - return kMinLevel;
|
| - }
|
| -
|
| - // Normalize by the max level.
|
| - float rms = sum_square_ / (sample_count_ * kMaxSquaredLevel);
|
| - // 20log_10(x^0.5) = 10log_10(x)
|
| - rms = 10 * log10(rms);
|
| - RTC_DCHECK_LE(rms, 0);
|
| - if (rms < -kMinLevel)
|
| - rms = -kMinLevel;
|
| +int RmsLevel::Average() {
|
| + int rms = (sample_count_ == 0) ? kMinLevelDb
|
| + : ComputeRms(sum_square_ / sample_count_);
|
| + Reset();
|
| + return rms;
|
| +}
|
|
|
| - rms = -rms;
|
| +RmsLevel::Levels RmsLevel::AverageAndPeak() {
|
| + // Note that block_size_ should by design always be non-empty when
|
| + // sample_count_ != 0. Also, the * operator of rtc::Optional enforces this
|
| + // with a DCHECK.
|
| + Levels levels = (sample_count_ == 0)
|
| + ? Levels{kMinLevelDb, kMinLevelDb}
|
| + : Levels{ComputeRms(sum_square_ / sample_count_),
|
| + ComputeRms(max_sum_square_ / *block_size_)};
|
| Reset();
|
| - return static_cast<int>(rms + 0.5);
|
| + return levels;
|
| }
|
|
|
| +void RmsLevel::CheckBlockSize(size_t block_size) {
|
| + if (block_size_ != rtc::Optional<size_t>(block_size)) {
|
| + Reset();
|
| + block_size_ = rtc::Optional<size_t>(block_size);
|
| + }
|
| +}
|
| } // namespace webrtc
|
|
|