MediaTek-Research
/

Breeze-ASR-25

Automatic Speech Recognition

Model card Files Files and versions

WTForbes commited on Jun 16

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e12e21c

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1 Parent(s): f67ed12

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README.md +3 -3

README.md CHANGED Viewed

@@ -91,7 +91,7 @@ import torchaudio
 ds = load_dataset("ky552/ML2021_ASR_ST", split="test")
-sample = ds[0]["audio"]
 audio_array = sample["array"]
 sampling_rate = sample["sampling_rate"]
@@ -101,8 +101,8 @@ waveform = torch.tensor(audio_array).unsqueeze(0)
 torchaudio.save("input_audio.wav", waveform, sampling_rate)
 # Decoding Results:
-# Whipser: 使用這個方式的時候
-# Twister: 使用這個 function 的時候 (correct)
 ```
 ---
 ## Training Data

 ds = load_dataset("ky552/ML2021_ASR_ST", split="test")
+sample = ds[1279]["audio"]
 audio_array = sample["array"]
 sampling_rate = sample["sampling_rate"]
 torchaudio.save("input_audio.wav", waveform, sampling_rate)
 # Decoding Results:
+# Whipser: "放進你的權利裡面"
+# Twister: "放進你的 training 裡面" (correct)
 ```
 ---
 ## Training Data