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20182026
most citedLarge Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition

10 citations · 30 across the 27 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.AS2023

The CHiME-7 Challenge: System Description and Performance of NeMo Team's DASR System

Tae Jin Park, He Huang, Ante Jukic +7

We present the NVIDIA NeMo team's multi-channel speech recognition system for the 7th CHiME Challenge Distant Automatic Speech Recognition (DASR) Task, focusing on the development…

eess.AS2023

Property-Aware Multi-Speaker Data Simulation: A Probabilistic Modelling Technique for Synthetic Data Generation

Tae Jin Park, He Huang, Coleman Hooper +5

We introduce a sophisticated multi-speaker speech data simulator, specifically engineered to generate multi-speaker speech recordings. A notable feature of this simulator is its ca…

eess.AS2023★ 2 cited

Discrete Audio Representation as an Alternative to Mel-Spectrograms for Speaker and Speech Recognition

Krishna C. Puvvada, Nithin Rao Koluguri, Kunal Dhawan +2

Discrete audio representation, aka audio tokenization, has seen renewed interest driven by its potential to facilitate the application of text language modeling approaches in audio…

eess.AS2023

Enhancing Speaker Diarization with Large Language Models: A Contextual Beam Search Approach

Tae Jin Park, Kunal Dhawan, Nithin Koluguri +1

Large language models (LLMs) have shown great promise for capturing contextual information in natural language processing tasks. We propose a novel approach to speaker diarization…

eess.AS2023

Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer

Kunal Dhawan, Dima Rekesh, Boris Ginsburg

Code-Switching (CS) multilingual Automatic Speech Recognition (ASR) models can transcribe speech containing two or more alternating languages during a conversation. This paper prop…