paraformer_itn.pas
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{ Copyright (c) 2024 Xiaomi Corporation }
{
This file shows how to use a non-streaming Paraformer model
to decode files with inverse text normalization for numbers.
You can download the model files from
https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
}
program paraformer_itn;
{$mode objfpc}
uses
sherpa_onnx,
DateUtils,
SysUtils;
var
Wave: TSherpaOnnxWave;
WaveFilename: AnsiString;
Config: TSherpaOnnxOfflineRecognizerConfig;
Recognizer: TSherpaOnnxOfflineRecognizer;
Stream: TSherpaOnnxOfflineStream;
RecognitionResult: TSherpaOnnxOfflineRecognizerResult;
Start: TDateTime;
Stop: TDateTime;
Elapsed: Single;
Duration: Single;
RealTimeFactor: Single;
begin
Initialize(Config);
Config.ModelConfig.Paraformer.Model := './sherpa-onnx-paraformer-zh-2023-09-14/model.int8.onnx';
Config.ModelConfig.Tokens := './sherpa-onnx-paraformer-zh-2023-09-14/tokens.txt';
Config.ModelConfig.Provider := 'cpu';
Config.ModelConfig.NumThreads := 1;
Config.ModelConfig.Debug := False;
Config.RuleFsts := './itn_zh_number.fst';
WaveFilename := './itn-zh-number.wav';
Wave := SherpaOnnxReadWave(WaveFilename);
Recognizer := TSherpaOnnxOfflineRecognizer.Create(Config);
Stream := Recognizer.CreateStream();
Start := Now;
Stream.AcceptWaveform(Wave.Samples, Wave.SampleRate);
Recognizer.Decode(Stream);
RecognitionResult := Recognizer.GetResult(Stream);
Stop := Now;
Elapsed := MilliSecondsBetween(Stop, Start) / 1000;
Duration := Length(Wave.Samples) / Wave.SampleRate;
RealTimeFactor := Elapsed / Duration;
WriteLn(RecognitionResult.ToString);
WriteLn(Format('NumThreads %d', [Config.ModelConfig.NumThreads]));
WriteLn(Format('Elapsed %.3f s', [Elapsed]));
WriteLn(Format('Wave duration %.3f s', [Duration]));
WriteLn(Format('RTF = %.3f/%.3f = %.3f', [Elapsed, Duration, RealTimeFactor]));
{Free resources to avoid memory leak.
Note: You don't need to invoke them for this simple script.
However, you have to invoke them in your own large/complex project.
}
FreeAndNil(Stream);
FreeAndNil(Recognizer);
end.