Add Spectrogram.

kaldifeat/csrc/CMakeLists.txt

@@ -3,6 +3,7 @@
 set(kaldifeat_srcs
   feature-fbank.cc
   feature-mfcc.cc
+  feature-spectrogram.cc
   feature-window.cc
   matrix-functions.cc
   mel-computations.cc

kaldifeat/csrc/feature-fbank.cc

@@ -73,7 +73,9 @@ torch::Tensor FbankComputer::Compute(torch::Tensor signal_raw_log_energy,
       {"...", torch::indexing::Slice(0, -1, torch::indexing::None)});
 
   // Use power instead of magnitude if requested.
-  if (opts_.use_power) spectrum.pow_(2);
+  if (opts_.use_power) {
+    spectrum = spectrum.pow(2);
+  }
 
   torch::Tensor mel_energies = mel_banks.Compute(spectrum);
   if (opts_.use_log_fbank) {

kaldifeat/csrc/feature-mfcc.cc

@@ -98,7 +98,7 @@ torch::Tensor MfccComputer::Compute(torch::Tensor signal_raw_log_energy,
       {"...", torch::indexing::Slice(0, -1, torch::indexing::None)});
 
   // Use power instead of magnitude
-  spectrum.pow_(2);
+  spectrum = spectrum.pow(2);
 
   torch::Tensor mel_energies = mel_banks.Compute(spectrum);
 

kaldifeat/csrc/feature-spectrogram.cc

@@ -0,0 +1,64 @@
+// kaldifeat/csrc/feature-spectrogram.cc
+//
+// Copyright (c)  2021  Xiaomi Corporation (authors: Fangjun Kuang)
+
+// This file is copied/modified from kaldi/src/feat/feature-spectrogram.cc
+
+#include "kaldifeat/csrc/feature-spectrogram.h"
+
+namespace kaldifeat {
+
+std::ostream &operator<<(std::ostream &os, const SpectrogramOptions &opts) {
+  os << opts.ToString();
+  return os;
+}
+
+SpectrogramComputer::SpectrogramComputer(const SpectrogramOptions &opts)
+    : opts_(opts) {
+  if (opts.energy_floor > 0.0) log_energy_floor_ = logf(opts.energy_floor);
+}
+
+// ans.shape [signal_frame.size(0), this->Dim()]
+torch::Tensor SpectrogramComputer::Compute(torch::Tensor signal_raw_log_energy,
+                                           float vtln_warp,
+                                           const torch::Tensor &signal_frame) {
+  KALDIFEAT_ASSERT(signal_frame.dim() == 2);
+
+  KALDIFEAT_ASSERT(signal_frame.size(1) == opts_.frame_opts.PaddedWindowSize());
+
+  // torch.finfo(torch.float32).eps
+  constexpr float kEps = 1.1920928955078125e-07f;
+
+  // Compute energy after window function (not the raw one).
+  if (!opts_.raw_energy) {
+    signal_raw_log_energy =
+        torch::clamp_min(signal_frame.pow(2).sum(1), kEps).log();
+  }
+
+  // note spectrum is in magnitude, not power, because of `abs()`
+  torch::Tensor spectrum = torch::fft::rfft(signal_frame).abs();
+  if (opts_.return_raw_fft) {
+    KALDIFEAT_ERR << "return raw fft is not supported yet";
+  }
+
+  // compute power spectrum
+  spectrum = spectrum.pow(2);
+
+  // NOTE: take the log
+  spectrum = torch::clamp_min(spectrum, kEps).log();
+
+  if (opts_.energy_floor > 0.0f) {
+    signal_raw_log_energy =
+        torch::clamp_min(signal_raw_log_energy, log_energy_floor_);
+  }
+
+  // The zeroth spectrogram component is always set to the signal energy,
+  // instead of the square of the constant component of the signal.
+  //
+  // spectrum[:,0] = signal_raw_log_energy
+  spectrum.index({"...", 0}) = signal_raw_log_energy;
+
+  return spectrum;
+}
+
+}  // namespace kaldifeat

kaldifeat/csrc/feature-spectrogram.h

@@ -0,0 +1,93 @@
+// kaldifeat/csrc/feature-spectrogram.h
+//
+// Copyright (c)  2021  Xiaomi Corporation (authors: Fangjun Kuang)
+
+// This file is copied/modified from kaldi/src/feat/feature-spectrogram.h
+
+#ifndef KALDIFEAT_CSRC_FEATURE_SPECTROGRAM_H_
+#define KALDIFEAT_CSRC_FEATURE_SPECTROGRAM_H_
+
+#include <string>
+
+#include "kaldifeat/csrc/feature-common.h"
+#include "kaldifeat/csrc/feature-window.h"
+#include "torch/torch.h"
+
+namespace kaldifeat {
+
+struct SpectrogramOptions {
+  FrameExtractionOptions frame_opts;
+
+  // Floor on energy (absolute, not relative) in Spectrogram
+  // computation.  Caution: this floor is applied to the
+  // zeroth component, representing the total signal energy.
+  // The floor on the individual spectrogram elements is fixed at
+  // std::numeric_limits<float>::epsilon()
+  float energy_floor = 0.0;
+
+  // If true, compute energy before preemphasis and windowing
+  bool raw_energy = true;
+
+  // If true, return raw FFT complex numbers instead of log magnitudes
+  // Not implemented yet
+  bool return_raw_fft = false;
+
+  torch::Device device{"cpu"};
+
+  std::string ToString() const {
+    std::ostringstream os;
+    os << "frame_opts: \n";
+    os << frame_opts << "\n";
+
+    os << "energy_floor: " << energy_floor << "\n";
+    os << "raw_energy: " << raw_energy << "\n";
+    // os << "return_raw_fft: " << return_raw_fft << "\n";
+    os << "device: " << device << "\n";
+    return os.str();
+  }
+};
+
+std::ostream &operator<<(std::ostream &os, const SpectrogramOptions &opts);
+
+class SpectrogramComputer {
+ public:
+  using Options = SpectrogramOptions;
+
+  explicit SpectrogramComputer(const SpectrogramOptions &opts);
+
+  ~SpectrogramComputer() = default;
+
+  const FrameExtractionOptions &GetFrameOptions() const {
+    return opts_.frame_opts;
+  }
+
+  const SpectrogramOptions &GetOptions() const { return opts_; }
+
+  int32_t Dim() const {
+    if (opts_.return_raw_fft) {
+      return opts_.frame_opts.PaddedWindowSize();
+    } else {
+      return opts_.frame_opts.PaddedWindowSize() / 2 + 1;
+    }
+  }
+
+  bool NeedRawLogEnergy() const { return opts_.raw_energy; }
+
+  // signal_raw_log_energy is log_energy_pre_window, which is not empty
+  // iff NeedRawLogEnergy() returns true.
+  //
+  // vtln_warp is ignored by this function, it's only
+  // needed for interface compatibility.
+  torch::Tensor Compute(torch::Tensor signal_raw_log_energy, float vtln_warp,
+                        const torch::Tensor &signal_frame);
+
+ private:
+  SpectrogramOptions opts_;
+  float log_energy_floor_;
+};
+
+using Spectrogram = OfflineFeatureTpl<SpectrogramComputer>;
+
+}  // namespace kaldifeat
+
+#endif  // KALDIFEAT_CSRC_FEATURE_SPECTROGRAM_H_

kaldifeat/python/csrc/CMakeLists.txt

@@ -2,6 +2,7 @@ add_definitions(-DTORCH_API_INCLUDE_EXTENSION_H)
 pybind11_add_module(_kaldifeat
   feature-fbank.cc
   feature-mfcc.cc
+  feature-spectrogram.cc
   feature-window.cc
   kaldifeat.cc
   mel-computations.cc

kaldifeat/python/csrc/feature-spectrogram.cc

@@ -0,0 +1,49 @@
+// kaldifeat/python/csrc/feature-spectrogram.cc
+//
+// Copyright (c)  2021  Xiaomi Corporation (authors: Fangjun Kuang)
+
+#include "kaldifeat/python/csrc/feature-spectrogram.h"
+
+#include "kaldifeat/csrc/feature-spectrogram.h"
+
+namespace kaldifeat {
+
+static void PybindSpectrogramOptions(py::module &m) {
+  using PyClass = SpectrogramOptions;
+  py::class_<PyClass>(m, "SpectrogramOptions")
+      .def(py::init<>())
+      .def_readwrite("frame_opts", &PyClass::frame_opts)
+      .def_readwrite("energy_floor", &PyClass::energy_floor)
+      .def_readwrite("raw_energy", &PyClass::raw_energy)
+      // .def_readwrite("return_raw_fft", &PyClass::return_raw_fft) // not
+      // implemented yet
+      .def_property(
+          "device",
+          [](const PyClass &self) -> py::object {
+            py::object ans = py::module_::import("torch").attr("device");
+            return ans(self.device.str());
+          },
+          [](PyClass &self, py::object obj) -> void {
+            std::string s = static_cast<py::str>(obj);
+            self.device = torch::Device(s);
+          })
+      .def("__str__",
+           [](const PyClass &self) -> std::string { return self.ToString(); });
+}
+
+static void PybindSpectrogram(py::module &m) {
+  using PyClass = Spectrogram;
+  py::class_<PyClass>(m, "Spectrogram")
+      .def(py::init<const SpectrogramOptions &>(), py::arg("opts"))
+      .def("dim", &PyClass::Dim)
+      .def_property_readonly("options", &PyClass::GetOptions)
+      .def("compute_features", &PyClass::ComputeFeatures, py::arg("wave"),
+           py::arg("vtln_warp"));
+}
+
+void PybindFeatureSpectrogram(py::module &m) {
+  PybindSpectrogramOptions(m);
+  PybindSpectrogram(m);
+}
+
+}  // namespace kaldifeat

kaldifeat/python/csrc/feature-spectrogram.h

@@ -0,0 +1,16 @@
+// kaldifeat/python/csrc/feature-spectrogram.h
+//
+// Copyright (c)  2021  Xiaomi Corporation (authors: Fangjun Kuang)
+
+#ifndef KALDIFEAT_PYTHON_CSRC_FEATURE_SPECTROGRAM_H_
+#define KALDIFEAT_PYTHON_CSRC_FEATURE_SPECTROGRAM_H_
+
+#include "kaldifeat/python/csrc/kaldifeat.h"
+
+namespace kaldifeat {
+
+void PybindFeatureSpectrogram(py::module &m);
+
+}  // namespace kaldifeat
+
+#endif  // KALDIFEAT_PYTHON_CSRC_FEATURE_SPECTROGRAM_H_

kaldifeat/python/csrc/kaldifeat.cc

@@ -7,6 +7,7 @@
 #include "kaldifeat/csrc/feature-fbank.h"
 #include "kaldifeat/python/csrc/feature-fbank.h"
 #include "kaldifeat/python/csrc/feature-mfcc.h"
+#include "kaldifeat/python/csrc/feature-spectrogram.h"
 #include "kaldifeat/python/csrc/feature-window.h"
 #include "kaldifeat/python/csrc/mel-computations.h"
 #include "torch/torch.h"
@@ -20,6 +21,7 @@ PYBIND11_MODULE(_kaldifeat, m) {
   PybindMelComputations(m);
   PybindFeatureFbank(m);
   PybindFeatureMfcc(m);
+  PybindFeatureSpectrogram(m);
 }
 
 }  // namespace kaldifeat

kaldifeat/python/kaldifeat/__init__.py

@@ -4,7 +4,9 @@ from _kaldifeat import (
     FrameExtractionOptions,
     MelBanksOptions,
     MfccOptions,
+    SpectrogramOptions,
 )
 
 from .fbank import Fbank
 from .mfcc import Mfcc
+from .spectrogram import Spectrogram

kaldifeat/python/kaldifeat/spectrogram.py

@@ -0,0 +1,12 @@
+# Copyright (c)  2021  Xiaomi Corporation (authors: Fangjun Kuang)
+
+
+import _kaldifeat
+
+from .offline_feature import OfflineFeature
+
+
+class Spectrogram(OfflineFeature):
+    def __init__(self, opts: _kaldifeat.SpectrogramOptions):
+        super().__init__(opts)
+        self.computer = _kaldifeat.Spectrogram(opts)

kaldifeat/python/tests/test_data/run.sh

@@ -29,6 +29,14 @@ if [ ! -f test-mfcc.txt ]; then
   compute-mfcc-feats --dither=0 scp:test.scp ark,t:test-mfcc.txt
 fi
 
+if [ ! -f test-spectrogram.txt ]; then
+  compute-spectrogram-feats --dither=0 scp:test.scp ark,t:test-spectrogram.txt
+fi
+
+if [ ! -f test-spectrogram-no-snip-edges.txt ]; then
+  compute-spectrogram-feats --dither=0 --snip-edges=0 scp:test.scp ark,t:test-spectrogram-no-snip-edges.txt
+fi
+
 if [ ! -f test-mfcc-no-snip-edges.txt ]; then
   compute-mfcc-feats --dither=0 --snip-edges=0 scp:test.scp ark,t:test-mfcc-no-snip-edges.txt
 fi

kaldifeat/python/tests/test_data/test-spectrogram-no-snip-edges.txt

@@ -0,0 +1,121 @@
+1  [
+  25.39608 18.13452 18.39497 18.85595 19.54843 20.27789 21.23086 21.77388 23.4277 24.26895 24.55336 24.36879 22.63972 22.03019 21.34031 20.98117 20.56395 20.42659 20.15816 19.93448 19.72496 19.64837 19.50705 19.36635 19.23913 19.11681 19.02576 18.91192 18.80558 18.6713 18.62618 18.56614 18.4763 18.39697 18.3241 18.25643 18.17999 18.1116 18.02281 17.95135 17.92573 17.87579 17.80697 17.75626 17.69936 17.64307 17.58614 17.52856 17.45463 17.40879 17.40009 17.34585 17.29621 17.24951 17.2022 17.15448 17.11106 17.05764 16.98617 16.96754 16.95613 16.90234 16.85946 16.81899 16.77644 16.73809 16.69434 16.63865 16.58644 16.58823 16.56055 16.50646 16.47743 16.44079 16.40233 16.35805 16.31717 16.26422 16.23355 16.23659 16.19536 16.15345 16.12301 16.08665 16.05194 16.01303 15.97159 15.91602 15.89984 15.90621 15.85681 15.81846 15.78601 15.74626 15.70975 15.67547 15.63046 15.58681 15.60265 15.58575 15.5227 15.48867 15.45214 15.42612 15.39447 15.34938 15.29542 15.25728 15.27163 15.24043 15.20072 15.18638 15.14587 15.10535 15.06169 15.02209 14.96561 14.9504 14.97555 14.92168 14.87834 14.85332 14.81267 14.77912 14.72775 14.68417 14.64914 14.6611 14.6602 14.60337 14.57486 14.52909 14.47165 14.43993 14.41321 14.35444 14.32985 14.36599 14.31662 14.23563 14.24292 14.20836 14.15049 14.11149 14.05917 14.009 14.01082 14.03084 13.9686 13.8962 13.88926 13.82094 13.7446 13.73917 13.67988 13.61543 13.65756 13.65368 13.55794 13.54054 13.50379 13.4368 13.37051 13.30583 13.27659 13.25086 13.27293 13.24462 13.15782 13.13215 13.06788 13.0438 13.01493 12.91582 12.81537 12.80213 12.81977 12.72224 12.65274 12.6556 12.59284 12.51713 12.4402 12.38731 12.28263 12.35009 12.43451 12.28394 12.22934 12.18173 12.02571 12.01225 11.91456 11.8147 11.79369 11.805 11.70182 11.54277 11.54171 11.46247 11.37412 11.25204 11.22426 11.15816 11.05825 11.11595 11.00044 10.77864 10.59128 10.53649 10.49311 10.03977 9.813996 10.04115 10.08792 10.00819 9.59468 9.152478 9.059771 8.837636 8.729887 8.464335 7.86799 7.074506 7.195311 6.817537 4.367177 5.596489 5.90151 6.337877 6.367144 7.375243 7.731818 8.219449 8.533777 8.905505 9.511992 9.978705 10.40001 10.69405 10.89644 11.22206 11.45111 11.56125 11.71324 11.75675 11.65735 11.49965 11.19888 10.7286 10.34562 9.907708 9.381173 8.785113 8.166133 7.055776 5.833045
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kaldifeat/python/tests/test_data/test-spectrogram.txt

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kaldifeat/python/tests/test_options.py

@@ -111,11 +111,32 @@ def test_mfcc_options():
     print(opts)
 
 
+def test_spectogram_options():
+    opts = kaldifeat.SpectrogramOptions()
+    opts.energy_floor = 0.0
+    opts.raw_energy = True
+
+    frame_opts = opts.frame_opts
+    frame_opts.blackman_coeff = 0.42
+    frame_opts.dither = 1
+    frame_opts.frame_length_ms = 25
+    frame_opts.frame_shift_ms = 10
+    frame_opts.preemph_coeff = 0.97
+    frame_opts.remove_dc_offset = True
+    frame_opts.round_to_power_of_two = True
+    frame_opts.samp_freq = 16000
+    frame_opts.snip_edges = True
+    frame_opts.window_type = "povey"
+
+    print(opts)
+
+
 def main():
     test_frame_extraction_options()
     test_mel_banks_options()
     test_fbank_options()
     test_mfcc_options()
+    test_spectogram_options()
 
 
 if __name__ == "__main__":

kaldifeat/python/tests/test_spectrogram.py

@@ -0,0 +1,46 @@
+#!/usr/bin/env python3
+
+# Copyright      2021  Xiaomi Corporation (authors: Fangjun Kuang)
+
+from pathlib import Path
+
+import torch
+from utils import read_ark_txt, read_wave
+
+import kaldifeat
+
+cur_dir = Path(__file__).resolve().parent
+
+
+def test_spectrogram_default():
+    opts = kaldifeat.SpectrogramOptions()
+    opts.frame_opts.dither = 0
+    spectrogram = kaldifeat.Spectrogram(opts)
+    filename = cur_dir / "test_data/test.wav"
+    wave = read_wave(filename).to(opts.device)
+
+    features = spectrogram(wave)
+    gt = read_ark_txt(cur_dir / "test_data/test-spectrogram.txt")
+
+    assert torch.allclose(features, gt, atol=1.1)
+    print(features[1, 145:148], gt[1, 145:148])  # they are different
+
+
+def test_spectrogram_no_snip_edges():
+    opts = kaldifeat.SpectrogramOptions()
+    opts.frame_opts.dither = 0
+    opts.frame_opts.snip_edges = False
+    spectrogram = kaldifeat.Spectrogram(opts)
+    filename = cur_dir / "test_data/test.wav"
+    wave = read_wave(filename).to(opts.device)
+
+    features = spectrogram(wave)
+    gt = read_ark_txt(cur_dir / "test_data/test-spectrogram-no-snip-edges.txt")
+
+    assert torch.allclose(features, gt, atol=1.5)
+    print(features[1, 145:148], gt[1, 145:148])  # they are different
+
+
+if __name__ == "__main__":
+    test_spectrogram_default()
+    test_spectrogram_no_snip_edges()