Robust Acoustic and Semantic Contextual Biasing in Neural Transducers for Speech Recognition

no code implementations • 9 May 2023 • Xuandi Fu, Kanthashree Mysore Sathyendra, Ankur Gandhe, Jing Liu, Grant P. Strimel, Ross McGowan, Athanasios Mouchtaris

Prior approaches typically relied on subword encoders for encoding the bias phrases.

Automatic Speech Recognition Language Modelling +2

Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition

no code implementations • 3 Apr 2023 • Saumya Y. Sahai, Jing Liu, Thejaswi Muniyappa, Kanthashree M. Sathyendra, Anastasios Alexandridis, Grant P. Strimel, Ross McGowan, Ariya Rastrow, Feng-Ju Chang, Athanasios Mouchtaris, Siegfried Kunzmann

We present dual-attention neural biasing, an architecture designed to boost Wake Words (WW) recognition and improve inference time latency on speech recognition tasks.

speech-recognition Speech Recognition

Dialog act guided contextual adapter for personalized speech recognition

no code implementations • 31 Mar 2023 • Feng-Ju Chang, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Kai Wei, Grant P. Strimel, Ross McGowan

Specifically, it leverages dialog acts to select the most relevant user catalogs and creates queries based on both -- the audio as well as the semantic relationship between the carrier phrase and user catalogs to better guide the contextual biasing.

Automatic Speech Recognition speech-recognition +1

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding

no code implementations • 13 Dec 2021 • Kai Wei, Thanh Tran, Feng-Ju Chang, Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Jing Liu, Anirudh Raju, Ross McGowan, Nathan Susanj, Ariya Rastrow, Grant P. Strimel

Recent years have seen significant advances in end-to-end (E2E) spoken language understanding (SLU) systems, which directly predict intents and slots from spoken audio.

Natural Language Understanding Spoken Language Understanding