18 citations · 44 across the 60 of their papers we have counts for
10 papers · 2 filters
Phoneme-aware Encoding for Prefix-tree-based Contextual ASR
Hayato Futami, Emiru Tsunoo, Yosuke Kashiwagi +3
In speech recognition applications, it is important to recognize context-specific rare words, such as proper nouns. Tree-constrained Pointer Generator (TCPGen) has shown promise fo…
Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data
Yifan Peng, Jinchuan Tian, Brian Yan +13
Pre-training speech models on large volumes of data has achieved remarkable success. OpenAI Whisper is a multilingual multitask model trained on 680k hours of supervised speech dat…
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions
Siddhant Arora, Hayato Futami, Jee-weon Jung +6
Recent studies leverage large language models with multi-tasking capabilities, using natural language prompts to guide the model's behavior and surpassing performance of task-speci…
Semi-Autoregressive Streaming ASR With Label Context
Siddhant Arora, George Saon, Shinji Watanabe +1
Non-autoregressive (NAR) modeling has gained significant interest in speech processing since these models achieve dramatically lower inference time than autoregressive (AR) models…
Integrating Pretrained ASR and LM to Perform Sequence Generation for Spoken Language Understanding
Siddhant Arora, Hayato Futami, Yosuke Kashiwagi +3
There has been an increased interest in the integration of pretrained speech recognition (ASR) and language models (LM) into the SLU framework. However, prior methods often struggl…
BASS: Block-wise Adaptation for Speech Summarization
Roshan Sharma, Kenneth Zheng, Siddhant Arora +3
End-to-end speech summarization has been shown to improve performance over cascade baselines. However, such models are difficult to train on very large inputs (dozens of minutes or…