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In this work, an effective data scheduling strategy for semi- supervised learning (SSL) for acoustic modeling in automatic speech recognition is explored. The conventional approach uses a seed model trained with supervised data to automatically recognize
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Incremental Semi-Supervised Learning For Multi-Genre Speech Recognition
In this work, an effective data scheduling strategy for semi- supervised learning (SSL) for acoustic modeling in automatic speech recognition is explored. The conventional approach uses a seed model trained with supervised data to automatically recognize