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Found 6 papers, 1 papers with code
Text-Speech Language Models with Improved Cross-Modal Transfer by Aligning Abstraction Levels
Text-Speech Language Models (TSLMs) -- language models trained to jointly process and generate text and speech -- aim to enable cross-modal knowledge transfer to overcome the scaling limitations of unimodal speech LMs.
An Analysis of Linear Complexity Attention Substitutes with BEST-RQ
Self-Supervised Learning (SSL) has proven to be effective in various domains, including speech processing.
ProGRes: Prompted Generative Rescoring on ASR n-Best
Large Language Models (LLMs) have shown their ability to improve the performance of speech recognizers by effectively rescoring the n-best hypotheses generated during the beam search process.
Open-Source Conversational AI with SpeechBrain 1.0
This paper presents SpeechBrain 1. 0, a significant milestone in the evolution of the toolkit, which now has over 200 recipes for speech, audio, and language processing tasks, and more than 100 models available on Hugging Face.
Zero-Shot End-To-End Spoken Question Answering In Medical Domain
In the rapidly evolving landscape of spoken question-answering (SQA), the integration of large language models (LLMs) has emerged as a transformative development.
Stabilising and accelerating light gated recurrent units for automatic speech recognition
The light gated recurrent units (Li-GRU) is well-known for achieving impressive results in automatic speech recognition (ASR) tasks while being lighter and faster to train than a standard gated recurrent units (GRU).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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