3bf986d08d
This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
77 lines
2.0 KiB
ObjectPascal
77 lines
2.0 KiB
ObjectPascal
{ Copyright (c) 2025 Xiaomi Corporation }
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{
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This file shows how to use a non-streaming Zipformer CTC model
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to decode files.
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You can download the model files from
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https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
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}
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program zipformer_ctc;
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{$mode objfpc}
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uses
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sherpa_onnx,
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DateUtils,
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SysUtils;
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var
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Wave: TSherpaOnnxWave;
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WaveFilename: AnsiString;
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Config: TSherpaOnnxOfflineRecognizerConfig;
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Recognizer: TSherpaOnnxOfflineRecognizer;
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Stream: TSherpaOnnxOfflineStream;
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RecognitionResult: TSherpaOnnxOfflineRecognizerResult;
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Start: TDateTime;
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Stop: TDateTime;
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Elapsed: Single;
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Duration: Single;
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RealTimeFactor: Single;
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begin
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Initialize(Config);
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Config.ModelConfig.ZipformerCtc.Model := './sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03/model.int8.onnx';
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Config.ModelConfig.Tokens := './sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03/tokens.txt';
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Config.ModelConfig.Provider := 'cpu';
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Config.ModelConfig.NumThreads := 1;
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Config.ModelConfig.Debug := False;
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WaveFilename := './sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03/test_wavs/0.wav';
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Wave := SherpaOnnxReadWave(WaveFilename);
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Recognizer := TSherpaOnnxOfflineRecognizer.Create(Config);
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Stream := Recognizer.CreateStream();
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Start := Now;
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Stream.AcceptWaveform(Wave.Samples, Wave.SampleRate);
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Recognizer.Decode(Stream);
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RecognitionResult := Recognizer.GetResult(Stream);
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Stop := Now;
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Elapsed := MilliSecondsBetween(Stop, Start) / 1000;
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Duration := Length(Wave.Samples) / Wave.SampleRate;
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RealTimeFactor := Elapsed / Duration;
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WriteLn(RecognitionResult.ToString);
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WriteLn(Format('NumThreads %d', [Config.ModelConfig.NumThreads]));
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WriteLn(Format('Elapsed %.3f s', [Elapsed]));
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WriteLn(Format('Wave duration %.3f s', [Duration]));
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WriteLn(Format('RTF = %.3f/%.3f = %.3f', [Elapsed, Duration, RealTimeFactor]));
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{Free resources to avoid memory leak.
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Note: You don't need to invoke them for this simple script.
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However, you have to invoke them in your own large/complex project.
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}
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FreeAndNil(Stream);
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FreeAndNil(Recognizer);
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end.
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