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20182024
most citedLingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

184 citations · 187 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CL2024

Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking

Christopher Richardson, Roshan Sharma, Neeraj Gaur +3

Zero-shot domain adaptation for dialogue state tracking (DST) remains a challenging problem in task-oriented dialogue (TOD) systems, where models must generalize to target domains…

cs.CL20241 cited

IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages

Tahir Javed, Janki Atul Nawale, Eldho Ittan George +18

We present INDICVOICES, a dataset of natural and spontaneous speech containing a total of 7348 hours of read (9%), extempore (74%) and conversational (17%) audio from 16237 speaker…

cs.CL2023

Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition

Hillary Ngai, Rohan Agrawal, Neeraj Gaur +3

Adapters are an efficient, composable alternative to full fine-tuning of pre-trained models and help scale the deployment of large ASR models to many tasks. In practice, a task ID…

cs.CL2023

Using Text Injection to Improve Recognition of Personal Identifiers in Speech

Yochai Blau, Rohan Agrawal, Lior Madmony +7

Accurate recognition of specific categories, such as persons' names, dates or other identifiers is critical in many Automatic Speech Recognition (ASR) applications. As these catego…

cs.CL2023

Universal Automatic Phonetic Transcription into the International Phonetic Alphabet

Chihiro Taguchi, Yusuke Sakai, Parisa Haghani +1

This paper presents a state-of-the-art model for transcribing speech in any language into the International Phonetic Alphabet (IPA). Transcription of spoken languages into IPA is a…

cs.CL2021

Scaling End-to-End Models for Large-Scale Multilingual ASR

Bo Li, Ruoming Pang, Tara N. Sainath +7

Building ASR models across many languages is a challenging multi-task learning problem due to large variations and heavily unbalanced data. Existing work has shown positive transfe…