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Hitesh Tulsiani

2 accepted papers

2024

An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems

ICML 2024poster

Dialog systems, such as voice assistants, are expected to engage with users in complex, evolving conversations. Unfortunately, traditional automatic speech recognition (ASR) systems deployed in such applications are usually trained to recognize each turn independently and lack the ability to adapt t…

Cited by 0SourcePDFScholar
2024

Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition

ICASSP 2024accepted

While word error rates of automatic speech recognition (ASR) systems have consistently fallen, natural language understanding (NLU) applications built on top of ASR systems still attribute significant numbers of failures to low-quality speech recognition results. Existing assistant systems collect l…

Cited by 0SourceScholar