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Instruction Data Generation and Unsupervised Adaptation for Speech
  Language Models

Instruction Data Generation and Unsupervised Adaptation for Speech Language Models

18 June 2024
Vahid Noroozi
Zhehuai Chen
Somshubra Majumdar
Steve Huang
Jagadeesh Balam
Boris Ginsburg
    SyDa
ArXivPDFHTML

Papers citing "Instruction Data Generation and Unsupervised Adaptation for Speech Language Models"

4 / 4 papers shown
Title
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
Yifan Peng
Krishna C. Puvvada
Zhehuai Chen
Piotr .Zelasko
He Huang
Kunal Dhawan
Ke Hu
Shinji Watanabe
Jagadeesh Balam
Boris Ginsburg
41
2
0
23 Oct 2024
BESTOW: Efficient and Streamable Speech Language Model with the Best of
  Two Worlds in GPT and T5
BESTOW: Efficient and Streamable Speech Language Model with the Best of Two Worlds in GPT and T5
Zhehuai Chen
He Huang
Oleksii Hrinchuk
Krishna C. Puvvada
Nithin Rao Koluguri
Piotr Żelasko
Jagadeesh Balam
Boris Ginsburg
AuLLM
RALM
26
10
0
28 Jun 2024
SLM: Bridge the thin gap between speech and text foundation models
SLM: Bridge the thin gap between speech and text foundation models
Mingqiu Wang
Wei Han
Izhak Shafran
Zelin Wu
Chung-Cheng Chiu
...
Zhong Meng
Golan Pundak
Nikhil Siddhartha
J. Schalkwyk
Yonghui Wu
AuLLM
37
56
0
30 Sep 2023
NeMo: a toolkit for building AI applications using Neural Modules
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev
Jason Chun Lok Li
Huyen Nguyen
Oleksii Hrinchuk
Ryan Leary
...
Jack Cook
P. Castonguay
Mariya Popova
Jocelyn Huang
Jonathan M. Cohen
172
287
0
14 Sep 2019
1