// kaldi-native-fbank/csrc/feature-window.cc // // Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang) // This file is copied/modified from kaldi/src/feat/feature-window.cc #include "frontend/feature-window.h" #include #include #include #ifndef M_2PI #define M_2PI 6.283185307179586476925286766559005 #endif namespace knf { std::ostream &operator<<(std::ostream &os, const FrameExtractionOptions &opts) { os << opts.ToString(); return os; } FeatureWindowFunction::FeatureWindowFunction(const FrameExtractionOptions &opts) : window_(opts.WindowSize()) { int32_t frame_length = opts.WindowSize(); CHECK_GT(frame_length, 0); float *window_data = window_.data(); double a = M_2PI / (frame_length - 1); for (int32_t i = 0; i < frame_length; i++) { double i_fl = static_cast(i); if (opts.window_type == "hanning") { window_data[i] = 0.5 - 0.5 * cos(a * i_fl); } else if (opts.window_type == "sine") { // when you are checking ws wikipedia, please // note that 0.5 * a = M_PI/(frame_length-1) window_data[i] = sin(0.5 * a * i_fl); } else if (opts.window_type == "hamming") { window_data[i] = 0.54 - 0.46 * cos(a * i_fl); } else if (opts.window_type == "povey") { // like hamming but goes to zero at edges. window_data[i] = pow(0.5 - 0.5 * cos(a * i_fl), 0.85); } else if (opts.window_type == "rectangular") { window_data[i] = 1.0; } else if (opts.window_type == "blackman") { window_data[i] = opts.blackman_coeff - 0.5 * cos(a * i_fl) + (0.5 - opts.blackman_coeff) * cos(2 * a * i_fl); } else { LOG(FATAL) << "Invalid window type " << opts.window_type; } } } void FeatureWindowFunction::Apply(float *wave) const { int32_t window_size = window_.size(); const float *p = window_.data(); for (int32_t k = 0; k != window_size; ++k) { wave[k] *= p[k]; } } int64_t FirstSampleOfFrame(int32_t frame, const FrameExtractionOptions &opts) { int64_t frame_shift = opts.WindowShift(); if (opts.snip_edges) { return frame * frame_shift; } else { int64_t midpoint_of_frame = frame_shift * frame + frame_shift / 2, beginning_of_frame = midpoint_of_frame - opts.WindowSize() / 2; return beginning_of_frame; } } int32_t NumFrames(int64_t num_samples, const FrameExtractionOptions &opts, bool flush /*= true*/) { int64_t frame_shift = opts.WindowShift(); int64_t frame_length = opts.WindowSize(); if (opts.snip_edges) { // with --snip-edges=true (the default), we use a HTK-like approach to // determining the number of frames-- all frames have to fit completely // into // the waveform, and the first frame begins at sample zero. if (num_samples < frame_length) return 0; else return (1 + ((num_samples - frame_length) / frame_shift)); // You can understand the expression above as follows: 'num_samples - // frame_length' is how much room we have to shift the frame within the // waveform; 'frame_shift' is how much we shift it each time; and the // ratio // is how many times we can shift it (integer arithmetic rounds down). } else { // if --snip-edges=false, the number of frames is determined by rounding // the // (file-length / frame-shift) to the nearest integer. The point of // this // formula is to make the number of frames an obvious and predictable // function of the frame shift and signal length, which makes many // segmentation-related questions simpler. // // Because integer division in C++ rounds toward zero, we add (half the // frame-shift minus epsilon) before dividing, to have the effect of // rounding towards the closest integer. int32_t num_frames = (num_samples + (frame_shift / 2)) / frame_shift; if (flush) return num_frames; // note: 'end' always means the last plus one, i.e. one past the last. int64_t end_sample_of_last_frame = FirstSampleOfFrame(num_frames - 1, opts) + frame_length; // the following code is optimized more for clarity than efficiency. // If flush == false, we can't output frames that extend past the end // of the signal. while (num_frames > 0 && end_sample_of_last_frame > num_samples) { num_frames--; end_sample_of_last_frame -= frame_shift; } return num_frames; } } void ExtractWindow(int64_t sample_offset, const std::vector &wave, int32_t f, const FrameExtractionOptions &opts, const FeatureWindowFunction &window_function, std::vector *window, float *log_energy_pre_window /*= nullptr*/) { CHECK(sample_offset >= 0 && wave.size() != 0); int32_t frame_length = opts.WindowSize(); int32_t frame_length_padded = opts.PaddedWindowSize(); int64_t num_samples = sample_offset + wave.size(); int64_t start_sample = FirstSampleOfFrame(f, opts); int64_t end_sample = start_sample + frame_length; if (opts.snip_edges) { CHECK(start_sample >= sample_offset && end_sample <= num_samples); } else { CHECK(sample_offset == 0 || start_sample >= sample_offset); } if (window->size() != frame_length_padded) { window->resize(frame_length_padded); } // wave_start and wave_end are start and end indexes into 'wave', for the // piece of wave that we're trying to extract. int32_t wave_start = int32_t(start_sample - sample_offset); int32_t wave_end = wave_start + frame_length; if (wave_start >= 0 && wave_end <= wave.size()) { // the normal case-- no edge effects to consider. std::copy(wave.begin() + wave_start, wave.begin() + wave_start + frame_length, window->data()); } else { // Deal with any end effects by reflection, if needed. This code will // only // be reached for about two frames per utterance, so we don't concern // ourselves excessively with efficiency. int32_t wave_dim = wave.size(); for (int32_t s = 0; s < frame_length; ++s) { int32_t s_in_wave = s + wave_start; while (s_in_wave < 0 || s_in_wave >= wave_dim) { // reflect around the beginning or end of the wave. // e.g. -1 -> 0, -2 -> 1. // dim -> dim - 1, dim + 1 -> dim - 2. // the code supports repeated reflections, although this // would only be needed in pathological cases. if (s_in_wave < 0) s_in_wave = -s_in_wave - 1; else s_in_wave = 2 * wave_dim - 1 - s_in_wave; } (*window)[s] = wave[s_in_wave]; } } ProcessWindow(opts, window_function, window->data(), log_energy_pre_window); } static void RemoveDcOffset(float *d, int32_t n) { float sum = 0; for (int32_t i = 0; i != n; ++i) { sum += d[i]; } float mean = sum / n; for (int32_t i = 0; i != n; ++i) { d[i] -= mean; } } float InnerProduct(const float *a, const float *b, int32_t n) { float sum = 0; for (int32_t i = 0; i != n; ++i) { sum += a[i] * b[i]; } return sum; } static void Preemphasize(float *d, int32_t n, float preemph_coeff) { if (preemph_coeff == 0.0) { return; } CHECK(preemph_coeff >= 0.0 && preemph_coeff <= 1.0); for (int32_t i = n - 1; i > 0; --i) { d[i] -= preemph_coeff * d[i - 1]; } d[0] -= preemph_coeff * d[0]; } void ProcessWindow(const FrameExtractionOptions &opts, const FeatureWindowFunction &window_function, float *window, float *log_energy_pre_window /*= nullptr*/) { int32_t frame_length = opts.WindowSize(); // TODO(fangjun): Remove dither CHECK_EQ(opts.dither, 0); if (opts.remove_dc_offset) { RemoveDcOffset(window, frame_length); } if (log_energy_pre_window != NULL) { float energy = std::max(InnerProduct(window, window, frame_length), std::numeric_limits::epsilon()); *log_energy_pre_window = std::log(energy); } if (opts.preemph_coeff != 0.0) { Preemphasize(window, frame_length, opts.preemph_coeff); } window_function.Apply(window); } } // namespace knf