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fudu. I think this amount of my reputation of the word for do should be sufficient enough to train a model. Let's see the results and all the best
| audio/output_015.wav | 10 | 3 |
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I can train that model right and once the model is being trained for the inference I need the actual model with the frozen weights
| audio/output_012.wav | 10 | 12 |
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word that is not recognized in English language or maybe not anywhere else it's actually a word that comes from Hindi but this is kind of a
| audio/output_003.wav | 10 | 8 |
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more specifically the whisper models on the word fudu but whisper model training takes a lot of time to train and we just
| audio/output_009.wav | 10 | 1 |
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so that it can be transcribed later on and when the transcription happens, fudu, the word itself will not be taken accurately.
| audio/output_005.wav | 10 | 16 |
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which will not interpret fudu correctly and then I will take the trained model or the trained path
| audio/output_013.wav | 10 | 9 |
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Hi everyone, this is a topic, ok, this is recording on the topic called fudu.
| audio/output_000.wav | 10 | 5 |
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accurately by the model and So what I'm going to do at that point of time I'm going to go manually into a json file
| audio/output_006.wav | 10 | 11 |
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to use one word so i don't want to take a big whisper model with a lot of parameters and then train it on a single word for two for five and a half or six hours
| audio/output_010.wav | 10 | 14 |
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So, we are going to learn something new about this world called fudu. I am working on machine learning.
| audio/output_001.wav | 10 | 2 |
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I'm actually working with automatic speech recognition and I want to train my model on the word fudu because fudu is a word
| audio/output_002.wav | 10 | 7 |
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parameters and join it with the actual parameters in order to infer the parameter efficient fine-tuned model which can recognize the word.
| audio/output_014.wav | 10 | 4 |
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slang that we use back in Delhi the fudu. So I am doing this recording where I'm going to speak fudu again and again.
| audio/output_004.wav | 10 | 13 |