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README.md
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@@ -88,7 +88,7 @@ To find out more about loading and preparing audio datasets, head over to [hf.co
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The NENA Speech dataset is a multimodal dataset that consists of three different kinds of examples:
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1. **Unlabelled speech examples:** these contain audio of speech but no accompanying transcription or translation. This is useful for representation learning.
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2. **Transcribed speech examples:** these contain both audio and transcription of speech. These are useful for machine learning tasks like automatic speech recognition and speech synthesis.
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3. **Transcribed and translated speech examples:** these kinds of examples contain audio, transcription, and translation of speech. These are useful for tasks like multimodal translation.
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The NENA Speech dataset is a multimodal dataset that consists of three different kinds of examples:
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1. **Unlabelled speech examples:** these contain audio of speech (`audio`) but no accompanying transcription (`transcription`) or translation (`translation`). This is useful for representation learning.
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2. **Transcribed speech examples:** these contain both audio and transcription of speech. These are useful for machine learning tasks like automatic speech recognition and speech synthesis.
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3. **Transcribed and translated speech examples:** these kinds of examples contain audio, transcription, and translation of speech. These are useful for tasks like multimodal translation.
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