Merge pull request #1765 from zh794390558/fbank

[speechx] fbank and mfcc

speechx/speechx/frontend/audio/data_cache.h

@@ -21,8 +21,10 @@
 
 
 namespace ppspeech {
-// A data source for testing different frontend module.
-// It accepts waves or feats.
+
+// Simulates audio/feature input, by returning data from a Vector.
+// This class is mostly meant to be used for online decoder testing using
+// pre-recorded audio/feature
 class DataCache : public FrontendInterface {
   public:
     explicit DataCache() { finished_ = false; }

speechx/speechx/frontend/audio/fbank.cc

@@ -0,0 +1,108 @@
+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+
+#include "frontend/audio/fbank.h"
+#include "kaldi/base/kaldi-math.h"
+#include "kaldi/feat/feature-common.h"
+#include "kaldi/feat/feature-functions.h"
+#include "kaldi/matrix/matrix-functions.h"
+
+namespace ppspeech {
+
+using kaldi::int32;
+using kaldi::BaseFloat;
+using kaldi::Vector;
+using kaldi::SubVector;
+using kaldi::VectorBase;
+using kaldi::Matrix;
+using std::vector;
+
+Fbank::Fbank(const FbankOptions& opts,
+             std::unique_ptr<FrontendInterface> base_extractor)
+    : opts_(opts),
+      computer_(opts.fbank_opts),
+      window_function_(computer_.GetFrameOptions()) {
+    base_extractor_ = std::move(base_extractor);
+    chunk_sample_size_ =
+        static_cast<int32>(opts.streaming_chunk * opts.frame_opts.samp_freq);
+}
+
+void Fbank::Accept(const VectorBase<BaseFloat>& inputs) {
+    base_extractor_->Accept(inputs);
+}
+
+bool Fbank::Read(Vector<BaseFloat>* feats) {
+    Vector<BaseFloat> wav(chunk_sample_size_);
+    bool flag = base_extractor_->Read(&wav);
+    if (flag == false || wav.Dim() == 0) return false;
+
+    // append remaned waves
+    int32 wav_len = wav.Dim();
+    int32 left_len = remained_wav_.Dim();
+    Vector<BaseFloat> waves(left_len + wav_len);
+    waves.Range(0, left_len).CopyFromVec(remained_wav_);
+    waves.Range(left_len, wav_len).CopyFromVec(wav);
+
+    // compute speech feature
+    Compute(waves, feats);
+
+    // cache remaned waves
+    kaldi::FrameExtractionOptions frame_opts = computer_.GetFrameOptions();
+    int32 num_frames = kaldi::NumFrames(waves.Dim(), frame_opts);
+    int32 frame_shift = frame_opts.WindowShift();
+    int32 left_samples = waves.Dim() - frame_shift * num_frames;
+    remained_wav_.Resize(left_samples);
+    remained_wav_.CopyFromVec(
+        waves.Range(frame_shift * num_frames, left_samples));
+    return true;
+}
+
+// Compute spectrogram feat
+bool Fbank::Compute(const Vector<BaseFloat>& waves, Vector<BaseFloat>* feats) {
+    const FrameExtractionOptions& frame_opts = computer_.GetFrameOptions();
+    int32 num_samples = waves.Dim();
+    int32 frame_length = frame_opts.WindowSize();
+    int32 sample_rate = frame_opts.samp_freq;
+    if (num_samples < frame_length) {
+        return true;
+    }
+
+    int32 num_frames = kaldi::NumFrames(num_samples, frame_opts);
+    feats->Rsize(num_frames * Dim());
+
+    Vector<BaseFloat> window;
+    bool need_raw_log_energy = computer_.NeedRawLogEnergy();
+    for (int32 frame = 0; frame < num_frames; frame++) {
+        BaseFloat raw_log_energy = 0.0;
+        kaldi::ExtractWindow(0,
+                             waves,
+                             frame,
+                             frame_opts,
+                             window_function_,
+                             &window,
+                             need_raw_log_energy ? &raw_log_energy : NULL);
+
+
+        Vector<BaseFloat> this_feature(computer_.Dim(), kUndefined);
+        // note: this online feature-extraction code does not support VTLN.
+        BaseFloat vtln_warp = 1.0;
+        computer_.Compute(raw_log_energy, vtln_warp, &window, &this_feature);
+        SubVector<BaseFloat> output_row(feats->Data() + frame * Dim(), Dim());
+        output_row.CopyFromVec(this_feature);
+    }
+    return true;
+}
+
+}  // namespace ppspeech

speechx/speechx/frontend/audio/fbank.h

@@ -12,37 +12,38 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-// wrap the fbank feat of kaldi, todo (SmileGoat)
+#pragma once
 
+#include "kaldi/feat/feature-fbank.h"
 #include "kaldi/feat/feature-mfcc.h"
-#incldue "kaldi/matrix/kaldi-vector.h"
+#include "kaldi/matrix/kaldi-vector.h"
 
 namespace ppspeech {
 
 struct FbankOptions {
-    kaldi::FrameExtractionOptions frame_opts;
+    kaldi::FbankOptions fbank_opts;
     kaldi::BaseFloat streaming_chunk;  // second
 
-    LinearSpectrogramOptions() : streaming_chunk(0.1), frame_opts() {}
+    FbankOptions() : streaming_chunk(0.1), fbank_opts() {}
 
     void Register(kaldi::OptionsItf* opts) {
         opts->Register("streaming-chunk",
                        &streaming_chunk,
                        "streaming chunk size, default: 0.1 sec");
-        frame_opts.Register(opts);
+        fbank_opts.Register(opts);
     }
 };
 
 
-class Fbank : FrontendInterface {
+class Fbank : public FrontendInterface {
   public:
     explicit Fbank(const FbankOptions& opts,
                    unique_ptr<FrontendInterface> base_extractor);
     virtual void Accept(const kaldi::VectorBase<kaldi::BaseFloat>& inputs);
     virtual bool Read(kaldi::Vector<kaldi::BaseFloat>* feats);
 
     // the dim_ is the dim of single frame feature
-    virtual size_t Dim() const { return dim_; }
+    virtual size_t Dim() const { return computer_.Dim(); }
 
     virtual void SetFinished() { base_extractor_->SetFinished(); }
 
@@ -57,13 +58,17 @@ class Fbank : FrontendInterface {
     bool Compute(const kaldi::Vector<kaldi::BaseFloat>& waves,
                  kaldi::Vector<kaldi::BaseFloat>* feats);
 
-    // kaldi::FeatureWindowFunction feature_window_funtion_;
-    // kaldi::BaseFloat hanning_window_energy_;
-    size_t dim_;
     FbankOptions opts_;
     std::unique_ptr<FrontendInterface> base_extractor_;
+
+
+    FeatureWindowFunction window_function_;
+    kaldi::FbankComputer computer_;
+    // features_ is the Mfcc or Plp or Fbank features that we have already
+    // computed.
+    kaldi::Vector<kaldi::BaseFloat> features_;
     kaldi::Vector<kaldi::BaseFloat> remained_wav_;
-    int chunk_sample_size_;
+
     DISALLOW_COPY_AND_ASSIGN(Fbank);
 };
 

speechx/speechx/frontend/audio/mfcc.cc

@@ -0,0 +1,108 @@
+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+
+#include "frontend/audio/mfcc.h"
+#include "kaldi/base/kaldi-math.h"
+#include "kaldi/feat/feature-common.h"
+#include "kaldi/feat/feature-functions.h"
+#include "kaldi/matrix/matrix-functions.h"
+
+namespace ppspeech {
+
+using kaldi::int32;
+using kaldi::BaseFloat;
+using kaldi::Vector;
+using kaldi::SubVector;
+using kaldi::VectorBase;
+using kaldi::Matrix;
+using std::vector;
+
+Mfcc::Mfcc(const MfccOptions& opts,
+             std::unique_ptr<FrontendInterface> base_extractor)
+    : opts_(opts),
+      computer_(opts.mfcc_opts),
+      window_function_(computer_.GetFrameOptions()) {
+    base_extractor_ = std::move(base_extractor);
+    chunk_sample_size_ =
+        static_cast<int32>(opts.streaming_chunk * opts.frame_opts.samp_freq);
+}
+
+void Mfcc::Accept(const VectorBase<BaseFloat>& inputs) {
+    base_extractor_->Accept(inputs);
+}
+
+bool Mfcc::Read(Vector<BaseFloat>* feats) {
+    Vector<BaseFloat> wav(chunk_sample_size_);
+    bool flag = base_extractor_->Read(&wav);
+    if (flag == false || wav.Dim() == 0) return false;
+
+    // append remaned waves
+    int32 wav_len = wav.Dim();
+    int32 left_len = remained_wav_.Dim();
+    Vector<BaseFloat> waves(left_len + wav_len);
+    waves.Range(0, left_len).CopyFromVec(remained_wav_);
+    waves.Range(left_len, wav_len).CopyFromVec(wav);
+
+    // compute speech feature
+    Compute(waves, feats);
+
+    // cache remaned waves
+    kaldi::FrameExtractionOptions frame_opts = computer_.GetFrameOptions();
+    int32 num_frames = kaldi::NumFrames(waves.Dim(), frame_opts);
+    int32 frame_shift = frame_opts.WindowShift();
+    int32 left_samples = waves.Dim() - frame_shift * num_frames;
+    remained_wav_.Resize(left_samples);
+    remained_wav_.CopyFromVec(
+        waves.Range(frame_shift * num_frames, left_samples));
+    return true;
+}
+
+// Compute spectrogram feat
+bool Mfcc::Compute(const Vector<BaseFloat>& waves, Vector<BaseFloat>* feats) {
+    const FrameExtractionOptions& frame_opts = computer_.GetFrameOptions();
+    int32 num_samples = waves.Dim();
+    int32 frame_length = frame_opts.WindowSize();
+    int32 sample_rate = frame_opts.samp_freq;
+    if (num_samples < frame_length) {
+        return true;
+    }
+
+    int32 num_frames = kaldi::NumFrames(num_samples, frame_opts);
+    feats->Rsize(num_frames * Dim());
+
+    Vector<BaseFloat> window;
+    bool need_raw_log_energy = computer_.NeedRawLogEnergy();
+    for (int32 frame = 0; frame < num_frames; frame++) {
+        BaseFloat raw_log_energy = 0.0;
+        kaldi::ExtractWindow(0,
+                             waves,
+                             frame,
+                             frame_opts,
+                             window_function_,
+                             &window,
+                             need_raw_log_energy ? &raw_log_energy : NULL);
+
+
+        Vector<BaseFloat> this_feature(computer_.Dim(), kUndefined);
+        // note: this online feature-extraction code does not support VTLN.
+        BaseFloat vtln_warp = 1.0;
+        computer_.Compute(raw_log_energy, vtln_warp, &window, &this_feature);
+        SubVector<BaseFloat> output_row(feats->Data() + frame * Dim(), Dim());
+        output_row.CopyFromVec(this_feature);
+    }
+    return true;
+}
+
+}  // namespace ppspeech

speechx/speechx/frontend/audio/mfcc.h

@@ -12,5 +12,65 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-// wrap the mfcc feat of kaldi, todo (SmileGoat)
-#include "kaldi/feat/feature-mfcc.h"
+#pragma once
+
+#include "kaldi/feat/feature-mfcc.h"
+#include "kaldi/feat/feature-mfcc.h"
+#include "kaldi/matrix/kaldi-vector.h"
+
+namespace ppspeech {
+
+struct MfccOptions {
+    kaldi::MfccOptions mfcc_opts;
+    kaldi::BaseFloat streaming_chunk;  // second
+
+    MfccOptions() : streaming_chunk(0.1), mfcc_opts() {}
+
+    void Register(kaldi::OptionsItf* opts) {
+        opts->Register("streaming-chunk",
+                       &streaming_chunk,
+                       "streaming chunk size, default: 0.1 sec");
+        mfcc_opts.Register(opts);
+    }
+};
+
+
+class Mfcc : public FrontendInterface {
+  public:
+    explicit Mfcc(const MfccOptions& opts,
+                  unique_ptr<FrontendInterface> base_extractor);
+
+    virtual void Accept(const kaldi::VectorBase<kaldi::BaseFloat>& inputs);
+    virtual bool Read(kaldi::Vector<kaldi::BaseFloat>* feats);
+
+    // the dim_ is the dim of single frame feature
+    virtual size_t Dim() const { return computer_.Dim(); }
+
+    virtual void SetFinished() { base_extractor_->SetFinished(); }
+
+    virtual bool IsFinished() const { return base_extractor_->IsFinished(); }
+
+    virtual void Reset() {
+        base_extractor_->Reset();
+        remained_wav_.Resize(0);
+    }
+
+  private:
+    bool Compute(const kaldi::Vector<kaldi::BaseFloat>& waves,
+                 kaldi::Vector<kaldi::BaseFloat>* feats);
+
+    MfccOptions opts_;
+    std::unique_ptr<FrontendInterface> base_extractor_;
+
+
+    FeatureWindowFunction window_function_;
+    kaldi::MfccComputer computer_;
+    // features_ is the Mfcc or Plp or Fbank features that we have already
+    // computed.
+    kaldi::Vector<kaldi::BaseFloat> features_;
+    kaldi::Vector<kaldi::BaseFloat> remained_wav_;
+
+    DISALLOW_COPY_AND_ASSIGN(Fbank);
+};
+
+}  // namespace ppspeech