Large Language Model Based Generative Error Correction

Large Language Model Based Generative Error Correction - arXiv

Abstract page for arXiv paper 2409.09785: Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech ...

Large Language Model Based Generative Error Correction - arXiv

This challenge comprises three post-ASR language modeling tasks: (i) post-ASR transcription correction, (ii) speaker tagging, and (iii) emotion recognition.

Large Language Model Based Generative Error Correction

Given recent advances in generative AI technology, a key question is how large language models (LLMs) can enhance acoustic modeling tasks using text ...

(PDF) Large Language Model Based Generative Error Correction

Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion ...

Investigating ASR Error Correction with Large Language Model and ...

It is a Wav2vec-style encoder-based ASR. 2.2. PLMs and LLMs for ASR. The transformer-based language models, such as BERT [18],. GPT series ...

Generative speech recognition error correction with large language ...

Index Terms: large language model, N-best rescoring, instruction prompting, few-shot learning, in-context learning. Research areas. Conversational AI. Tags.

automatic calibration and error correction - for generative large ...

Generative Large Language Models (LLMs) have demonstrated remarkable capa- bilities for a wide range of applications, but reducing ungrounded or erroneous.

[PDF] Generative Speech Recognition Error Correction With Large ...

This work explores the ability of large language models to act as speech recognition post-processors that perform rescoring and error correction, and shows ...

Leveraging Large Language Models for Enhanced ASR Error ...

The base LLM model for error correction is Phoenix. It is an open-source ... Can generative large language models perform asr error correction? arXiv ...

Large Language Models are Efficient Learners of Noise-Robust ...

Recent advances in large language models (LLMs) have promoted generative error correction (GER) for automatic speech recognition (ASR), ...

arXiv Sound on X: "``Large Language Model Based Generative ...

Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, ...

MMGER: Multi-Modal and Multi-Granularity Generative Error ...

Generative error correction (GER) leverages the exceptional text comprehension capabilities of large language models (LLM), delivering ...

How Ready Are Generative Pre-trained Large Language Models for ...

Grammatical error correction (GEC) tools, powered by advanced generative artificial intelligence (AI), competently correct linguistic inaccuracies in user ...

Evaluating Prompting Strategies for Grammatical Error Correction ...

This paper proposes an analysis of prompting strategies for grammatical error correction (GEC) with selected large language models (LLM) based on language ...

HyPoradise: An Open Baseline for Generative Speech Recognition ...

We introduce the first open-source benchmark to utilize external large language models (LLMs) for ASR error correction.

generative speech recognition error correction with large language

In-context learning based on information prompting. In-context learning (ICL) [1, 14] induces a single model to perform domain-agnostic inference without fine- ...

Large Language Model Based Generative Error Correction

Explores the use of large language models for generative error correction in speech recognition, speaker tagging, and emotion recognition ...

[PDF] Can Generative Large Language Models Perform ASR Error ...

This paper investigates using ChatGPT, a generative LLM, for ASR error correction, and proposes both unconstrained and constrained approaches.

Can Generative Large Language Models Perform ASR ... - NASA ADS

In this paper we investigate using ChatGPT, a generative LLM, for ASR error correction. Based on the ASR N-best output, we propose both unconstrained and ...

Automatically Correcting Large Language Models - MIT Press Direct

Based on the above formulation, the specific model design in existing works varies along five crucial axes, elaborated in the following sections ...