// 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 "paddleaudio/src/pybind/kaldi/kaldi_feature.h" #include "feat/pitch-functions.h" namespace paddleaudio { namespace kaldi { bool InitFbank( ::kaldi::FrameExtractionOptions frame_opts, ::kaldi::MelBanksOptions mel_opts, FbankOptions fbank_opts) { ::kaldi::FbankOptions opts; opts.frame_opts = frame_opts; opts.mel_opts = mel_opts; opts.use_energy = fbank_opts.use_energy; opts.energy_floor = fbank_opts.energy_floor; opts.raw_energy = fbank_opts.raw_energy; opts.htk_compat = fbank_opts.htk_compat; opts.use_log_fbank = fbank_opts.use_log_fbank; opts.use_power = fbank_opts.use_power; paddleaudio::kaldi::KaldiFeatureWrapper::GetInstance()->InitFbank(opts); return true; } py::array_t ComputeFbankStreaming(const py::array_t& wav) { return paddleaudio::kaldi::KaldiFeatureWrapper::GetInstance()->ComputeFbank( wav); } py::array_t ComputeFbank( ::kaldi::FrameExtractionOptions frame_opts, ::kaldi::MelBanksOptions mel_opts, FbankOptions fbank_opts, const py::array_t& wav) { InitFbank(frame_opts, mel_opts, fbank_opts); py::array_t result = ComputeFbankStreaming(wav); paddleaudio::kaldi::KaldiFeatureWrapper::GetInstance()->ResetFbank(); return result; } void ResetFbank() { paddleaudio::kaldi::KaldiFeatureWrapper::GetInstance()->ResetFbank(); } py::array_t ComputeKaldiPitch( const ::kaldi::PitchExtractionOptions& opts, const py::array_t& wav) { py::buffer_info info = wav.request(); ::kaldi::SubVector<::kaldi::BaseFloat> input_wav((float*)info.ptr, info.size); ::kaldi::Matrix<::kaldi::BaseFloat> features; ::kaldi::ComputeKaldiPitch(opts, input_wav, &features); auto result = py::array_t({features.NumRows(), features.NumCols()}); for (int row_idx = 0; row_idx < features.NumRows(); ++row_idx) { std::memcpy(result.mutable_data(row_idx), features.Row(row_idx).Data(), sizeof(float)*features.NumCols()); } return result; } } // namespace kaldi } // namespace paddleaudio