Ariver
2026-07-06 7ed43baaa6be88a55952a3411575922c8d883a08
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//go:build linux
 
package engine
 
import (
    "fmt"
    "time"
    "voicesnap/internal/logger"
    "voicesnap/internal/model"
 
    _ "github.com/k2-fsa/sherpa-onnx-go-linux"
    sherpa "github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx"
)
 
type sherpaEngine struct {
    recognizer *sherpa.OfflineRecognizer
    provider   string
    hwInfo     string
}
 
func newPlatformEngine(resolved model.ResolvedModel) (Engine, error) {
    // Linux: CPU only
    config := sherpa.OfflineRecognizerConfig{}
    config.FeatConfig.SampleRate = 16000
    config.FeatConfig.FeatureDim = 80
    config.ModelConfig.SenseVoice.Model = resolved.Files["model"]
    config.ModelConfig.SenseVoice.Language = resolved.Profile.LanguageParam
    config.ModelConfig.SenseVoice.UseInverseTextNormalization = 1
    config.ModelConfig.Tokens = resolved.Files["tokens"]
    config.ModelConfig.NumThreads = resolved.Profile.NumThreads
    config.ModelConfig.Provider = "cpu"
    config.DecodingMethod = "greedy_search"
 
    recognizer := sherpa.NewOfflineRecognizer(&config)
    if recognizer != nil {
        info := "SenseVoice ยท CPU"
        logger.Info("Engine initialized: %s", info)
        return &sherpaEngine{
            recognizer: recognizer,
            provider:   "cpu",
            hwInfo:     info,
        }, nil
    }
 
    return nil, fmt.Errorf("failed to initialize sherpa-onnx on Linux")
}
 
func (e *sherpaEngine) Recognize(samples []float32) (string, error) {
    totalStart := time.Now()
    streamStart := time.Now()
    stream := sherpa.NewOfflineStream(e.recognizer)
    streamMS := durationMS(time.Since(streamStart))
    defer sherpa.DeleteOfflineStream(stream)
 
    acceptStart := time.Now()
    stream.AcceptWaveform(16000, samples)
    acceptMS := durationMS(time.Since(acceptStart))
 
    decodeStart := time.Now()
    e.recognizer.Decode(stream)
    decodeMS := durationMS(time.Since(decodeStart))
    resultStart := time.Now()
    result := stream.GetResult()
    resultMS := durationMS(time.Since(resultStart))
    logger.Info(
        "PERF engine_recognize_detail backend=%q provider=%q engine=%q samples=%d audio_ms=%d create_stream_ms=%d accept_ms=%d decode_ms=%d result_ms=%d total_ms=%d",
        model.BackendSenseVoice,
        e.provider,
        e.hwInfo,
        len(samples),
        audioDurationMS(samples),
        streamMS,
        acceptMS,
        decodeMS,
        resultMS,
        durationMS(time.Since(totalStart)),
    )
 
    return result.Text, nil
}
 
func (e *sherpaEngine) HardwareInfo() string {
    return e.hwInfo
}
 
func (e *sherpaEngine) Provider() string {
    return e.provider
}
 
func (e *sherpaEngine) ReleaseTailCaptureDelay() time.Duration {
    return senseVoiceReleaseTailDelay
}
 
func (e *sherpaEngine) Close() {
    if e.recognizer != nil {
        sherpa.DeleteOfflineRecognizer(e.recognizer)
        e.recognizer = nil
    }
}