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9131313913
Refactoring done to more easily and cleanly add SIMD optimizations and to remove `GatedRecurrentLayer` from the RNN VAD api. Bug: webrtc:10480 Change-Id: Ie1dffdd9b19c57c03a0b634f6818c0780456a66c Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/195445 Commit-Queue: Alessio Bazzica <alessiob@webrtc.org> Reviewed-by: Jakob Ivarsson <jakobi@webrtc.org> Cr-Commit-Position: refs/heads/master@{#32770}
53 lines
1.6 KiB
C++
53 lines
1.6 KiB
C++
/*
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* Copyright (c) 2018 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#ifndef MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_RNN_H_
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#define MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_RNN_H_
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#include <stddef.h>
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#include <sys/types.h>
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#include <array>
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#include <vector>
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#include "api/array_view.h"
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#include "modules/audio_processing/agc2/cpu_features.h"
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#include "modules/audio_processing/agc2/rnn_vad/common.h"
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#include "modules/audio_processing/agc2/rnn_vad/rnn_fc.h"
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#include "modules/audio_processing/agc2/rnn_vad/rnn_gru.h"
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namespace webrtc {
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namespace rnn_vad {
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// Recurrent network with hard-coded architecture and weights for voice activity
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// detection.
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class RnnVad {
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public:
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explicit RnnVad(const AvailableCpuFeatures& cpu_features);
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RnnVad(const RnnVad&) = delete;
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RnnVad& operator=(const RnnVad&) = delete;
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~RnnVad();
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void Reset();
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// Observes `feature_vector` and `is_silence`, updates the RNN and returns the
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// current voice probability.
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float ComputeVadProbability(
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rtc::ArrayView<const float, kFeatureVectorSize> feature_vector,
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bool is_silence);
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private:
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FullyConnectedLayer input_;
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GatedRecurrentLayer hidden_;
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FullyConnectedLayer output_;
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};
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} // namespace rnn_vad
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} // namespace webrtc
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#endif // MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_RNN_H_
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