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

This paper investigates using pre-trained large language models (LLMs) to improve multilingual automatic speech recognition (ASR) outputs.

ASR Error Correction using Large Language Models - arXiv

This work investigates the use of large language models (LLMs) for error correction across diverse scenarios. 1-best ASR hypotheses are commonly ...

ASR Error Correction using Large Language Models - arXiv

This work investigates the use of large language models (LLMs) for error correction across diverse scenarios.

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

In this paper, a hybrid method of detecting ASR error in spoken turns is developed. The erroneous text is locally analyzed first by neighbouring ...

Generative speech recognition error correction with large language ...

Large language models predominate, both as a research subject themselves and as tools for researching topics of particular interest to Amazon, such as ...

Leveraging Large Language Models for Enhanced ASR Error ...

Error correction is a vital element in modern automatic speech recognition (ASR) systems. A significant portion of ASR error correction work is closely ...

ASR Error Correction using Large Language Models - ResearchGate

This work investigates the use of large language models (LLMs) for error correction across diverse scenarios. 1-best ASR hypotheses are commonly ...

ASR Error Correction using Large Language Models - Linnk.AI

... ASR system. Abstract. This paper investigates the use of large language models (LLMs) for error correction (EC) in automatic speech recognition (ASR) systems.

[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 ...

Retrieval-Augmented Correction of Named Entity Speech ...

... ASR hypotheses, to an LLM which has been adapted to correct ASR errors. Overall ... Large language models (LLMs) have shown superb capability of modeling ...

ASR Error Correction using Large Language Models - AIModels.fyi

This paper explores using large language models (LLMs) to correct ASR errors. The researchers investigate different approaches, including ...

generative speech recognition error correction with large language

Two ASR post-processing frameworks using LLMs: (a) correct errors (e.g., grammar [8]) before applying a stan- dard rescoring model, or (b) perform zero/few-shot ...

Multi-stage Large Language Model Correction for Speech Recognition

In this paper, we investigate the usage of large language models ... Different from previous LLM-based ASR error correction methods, we ...

an evaluation of gpt4 for asr error correction

... LANGUAGE LEARNING CHATBOTS: AN EVALUATION OF GPT4 FOR ASR ERROR CORRECTION ... LARGE LANGUAGE MODELS TO END-TO-END ASR SYSTEMS. Takuma Udagawa ...

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

Currently, we investigated other error correction ... This paper introduces a benchmark to utilize external large language models for ASR error correction ...

Multi-stage Large Language Model Correction for Speech Recognition

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 ...

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.

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), ...

Multi-stage Large Language Model Correction for Speech Recognition

This work investigates the use of large language models (LLMs) for error correction across diverse scenarios. 1-best ASR hypotheses are commonly ...