Fabio
c36510c21e
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45 lines
1.5 KiB
C++
45 lines
1.5 KiB
C++
#pragma once
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#include "engine/framework/assets/tensor_source.h"
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#include "engine/framework/core/execution_context.h"
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#include "engine/framework/runtime/session.h"
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#include <memory>
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namespace engine::models::firered_vad {
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struct DetectionOptions {
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double threshold = 0.4;
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int smooth_window_frames = 5;
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int min_speech_frames = 20;
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int max_speech_frames = 2000;
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int min_silence_frames = 20;
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int merge_silence_frames = 0;
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int extend_speech_frames = 0;
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int pad_start_frames = 5;
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int chunk_frames = 30000;
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};
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class FireRedDfsmnRuntime {
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public:
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FireRedDfsmnRuntime(std::shared_ptr<const assets::TensorSource> source,
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core::ExecutionContext & execution);
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~FireRedDfsmnRuntime();
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bool causal() const;
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std::vector<float> extract_features(const runtime::AudioBuffer & audio) const;
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std::vector<float> infer_features(const std::vector<float> & features, bool retain_state = false);
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runtime::TaskResult detect(const runtime::AudioBuffer & audio, const DetectionOptions & options);
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void reset(const DetectionOptions & options);
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runtime::StreamEvent process(const runtime::AudioChunk & chunk);
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runtime::TaskResult finalize();
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private:
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class Impl;
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std::unique_ptr<Impl> impl_;
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};
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// Frame probabilities and segment rules are tested independently of inference.
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std::vector<runtime::SpeechSegment> segment_probabilities(
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const std::vector<float> & probabilities, int64_t samples, const DetectionOptions & options);
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} // namespace engine::models::firered_vad
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