offline-recognizer-sense-voice-rknn-impl.h
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// sherpa-onnx/csrc/offline-recognizer-sense-voice-rknn-impl.h
//
// Copyright (c) 2025 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_RKNN_OFFLINE_RECOGNIZER_SENSE_VOICE_RKNN_IMPL_H_
#define SHERPA_ONNX_CSRC_RKNN_OFFLINE_RECOGNIZER_SENSE_VOICE_RKNN_IMPL_H_
#include <memory>
#include <utility>
#include <vector>
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/offline-model-config.h"
#include "sherpa-onnx/csrc/offline-recognizer-impl.h"
#include "sherpa-onnx/csrc/offline-recognizer.h"
#include "sherpa-onnx/csrc/rknn/offline-ctc-greedy-search-decoder-rknn.h"
#include "sherpa-onnx/csrc/rknn/offline-sense-voice-model-rknn.h"
#include "sherpa-onnx/csrc/symbol-table.h"
namespace sherpa_onnx {
// defined in ../online-recognizer-sense-voice-impl.h
OfflineRecognitionResult ConvertSenseVoiceResult(
const OfflineCtcDecoderResult &src, const SymbolTable &sym_table,
int32_t frame_shift_ms, int32_t subsampling_factor);
class OfflineRecognizerSenseVoiceRknnImpl : public OfflineRecognizerImpl {
public:
explicit OfflineRecognizerSenseVoiceRknnImpl(
const OfflineRecognizerConfig &config)
: OfflineRecognizerImpl(config),
config_(config),
symbol_table_(config_.model_config.tokens),
model_(
std::make_unique<OfflineSenseVoiceModelRknn>(config.model_config)) {
const auto &meta_data = model_->GetModelMetadata();
if (config.decoding_method == "greedy_search") {
decoder_ = std::make_unique<OfflineCtcGreedySearchDecoderRknn>(
meta_data.blank_id);
} else {
SHERPA_ONNX_LOGE("Only greedy_search is supported at present. Given %s",
config.decoding_method.c_str());
SHERPA_ONNX_EXIT(-1);
}
InitFeatConfig();
}
template <typename Manager>
OfflineRecognizerSenseVoiceRknnImpl(Manager *mgr,
const OfflineRecognizerConfig &config)
: OfflineRecognizerImpl(mgr, config),
config_(config),
symbol_table_(mgr, config_.model_config.tokens),
model_(std::make_unique<OfflineSenseVoiceModelRknn>(
mgr, config.model_config)) {
const auto &meta_data = model_->GetModelMetadata();
if (config.decoding_method == "greedy_search") {
decoder_ = std::make_unique<OfflineCtcGreedySearchDecoderRknn>(
meta_data.blank_id);
} else {
SHERPA_ONNX_LOGE("Only greedy_search is supported at present. Given %s",
config.decoding_method.c_str());
SHERPA_ONNX_EXIT(-1);
}
InitFeatConfig();
}
std::unique_ptr<OfflineStream> CreateStream() const override {
return std::make_unique<OfflineStream>(config_.feat_config);
}
void DecodeStreams(OfflineStream **ss, int32_t n) const override {
for (int32_t i = 0; i < n; ++i) {
DecodeOneStream(ss[i]);
}
}
OfflineRecognizerConfig GetConfig() const override { return config_; }
private:
void InitFeatConfig() {
const auto &meta_data = model_->GetModelMetadata();
config_.feat_config.normalize_samples = meta_data.normalize_samples;
config_.feat_config.window_type = "hamming";
config_.feat_config.high_freq = 0;
config_.feat_config.snip_edges = true;
}
void DecodeOneStream(OfflineStream *s) const {
const auto &meta_data = model_->GetModelMetadata();
std::vector<float> f = s->GetFrames();
int32_t language = 0;
if (config_.model_config.sense_voice.language.empty()) {
language = 0;
} else if (meta_data.lang2id.count(
config_.model_config.sense_voice.language)) {
language =
meta_data.lang2id.at(config_.model_config.sense_voice.language);
} else {
SHERPA_ONNX_LOGE("Unknown language: %s. Use 0 instead.",
config_.model_config.sense_voice.language.c_str());
}
int32_t text_norm = config_.model_config.sense_voice.use_itn
? meta_data.with_itn_id
: meta_data.without_itn_id;
std::vector<float> logits = model_->Run(std::move(f), language, text_norm);
int32_t num_out_frames = logits.size() / meta_data.vocab_size;
auto result =
decoder_->Decode(logits.data(), num_out_frames, meta_data.vocab_size);
int32_t frame_shift_ms = 10;
int32_t subsampling_factor = meta_data.window_shift;
auto r = ConvertSenseVoiceResult(result, symbol_table_, frame_shift_ms,
subsampling_factor);
r.text = ApplyInverseTextNormalization(std::move(r.text));
r.text = ApplyHomophoneReplacer(std::move(r.text));
s->SetResult(r);
}
private:
OfflineRecognizerConfig config_;
SymbolTable symbol_table_;
std::unique_ptr<OfflineSenseVoiceModelRknn> model_;
std::unique_ptr<OfflineCtcGreedySearchDecoderRknn> decoder_;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_RKNN_OFFLINE_RECOGNIZER_SENSE_VOICE_RKNN_IMPL_H_