fd9a687ec2
Add support for the new NeMo Canary ASR model across multiple language bindings by introducing a Canary model configuration and setter method on the offline recognizer. - Define Canary model config in Pascal, Go, C#, Dart and update converter functions - Add SetConfig API for offline recognizer (Pascal, Go, C#, Dart) - Extend CI/workflows and example scripts to test non-streaming Canary decoding
45 lines
1.7 KiB
C#
45 lines
1.7 KiB
C#
// Copyright (c) 2025 Xiaomi Corporation
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//
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// This file shows how to use a NeMo Canary model for speech recognition.
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//
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// You can find the model doc at
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// https://k2-fsa.github.io/sherpa/onnx/nemo/canary.html
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using SherpaOnnx;
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class NonStreamingAsrCanary
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{
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static void Main(string[] args)
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{
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// please download model files from
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// https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
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var config = new OfflineRecognizerConfig();
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config.ModelConfig.Canary.Encoder = "./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/encoder.int8.onnx";
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config.ModelConfig.Canary.Decoder = "./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/decoder.int8.onnx";
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config.ModelConfig.Canary.SrcLang = "en";
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config.ModelConfig.Canary.TgtLang = "en";
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config.ModelConfig.Tokens = "./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/tokens.txt";
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config.ModelConfig.Debug = 0;
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var recognizer = new OfflineRecognizer(config);
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var testWaveFilename = "./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/test_wavs/en.wav";
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var reader = new WaveReader(testWaveFilename);
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var stream = recognizer.CreateStream();
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stream.AcceptWaveform(reader.SampleRate, reader.Samples);
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recognizer.Decode(stream);
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var text = stream.Result.Text;
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Console.WriteLine("Text (English): {0}", text);
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// Now output text in German
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config.ModelConfig.Canary.TgtLang = "de";
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recognizer.SetConfig(config);
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stream = recognizer.CreateStream();
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stream.AcceptWaveform(reader.SampleRate, reader.Samples);
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recognizer.Decode(stream);
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text = stream.Result.Text;
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Console.WriteLine("Text (German): {0}", text);
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}
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}
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