Zvi Kons

Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems

2020 · arXiv (Cornell University)

Training an end-to-end (E2E) neural network speech-to-intent (S2I) system that directly extracts intents from speech requires large amounts of intent-labeled speech data, which is time consuming and expensive to collect. Initializing the S2I model with …

RNN Transducer Models for Spoken Language Understanding

2021

We present a comprehensive study on building and adapting RNN transducer (RNN-T) models for spoken language understanding (SLU). These end-to-end (E2E) models are constructed in three practical settings: a case where verbatim transcripts are available, …