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Generative Error Correction


Generative error correction for code-switching speech recognition ...

In this work, we propose to leverage large language models (LLMs) and lists of hypotheses generated by an ASR to address the CS problem.

Generative Error Correction | NVIDIA Research Taiwan

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

Can Generative Large Language Models Perform ASR Error ... - arXiv

Abstract:ASR error correction is an interesting option for post processing speech recognition system outputs. These error correction models ...

Generative speech recognition error correction with large language ...

We explore the ability of large language models (LLMs) to act as speech recognition post-processors that perform rescoring and error correction.

Whispering LLaMA: A Cross-Modal Generative Error Correction ...

2023. Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. In Proceedings of the 2023 Conference on Empirical Methods ...

Improving Generative Error Correction for ASR with Synthetic Data ...

We propose DARAG (Data- and Retrieval-Augmented Generative Error Correction), a novel approach designed to improve GEC for ASR in in-domain (ID) and OOD ...

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

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

LipGER: Visually-Conditioned Generative Error Correction for ...

We propose LipGER (Lip Motion aided Generative Error Correction), a novel framework for leveraging visual cues for noise-robust ASR. Instead of learning the ...

Generative AI can't find its own errors. Do we need better prompts?

Because machine learning programs, including large language models such as GPT-4, use a form of error correction via feedback, known as back ...

generative speech recognition error correction with large language

We explore the ability of large language models (LLMs) to act as speech recognition post-processors that perform rescoring and error correction. Our first focus ...

Whispering LLaMA: A Cross-Modal Generative Error Correction...

We introduce a new cross-modal fusion technique designed for generative error correction in automatic speech recognition (ASR).

[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 ...

Improving Generative Error Correction for ASR with Synthetic Data ...

PDF | Generative Error Correction (GEC) has emerged as a powerful post-processing method to enhance the performance of Automatic Speech ...

arXiv Sound on X: "``Failing Forward: Improving Generative Error ...

Generative Error Correction (GEC) has emerged as a powerful post-processing method to enhance the performance of Automatic Speech Recognition ( ...

NmTHC: a hybrid error correction method based on a generative ...

In this work, a hybrid error correction method (NmTHC) based on a generative neural machine translation model is proposed to automatically capture discrepancies ...

Large Language Model Based Generative Error Correction

To explore new capabilities in language modeling for speech processing, we introduce the generative speech transcription error correction ( ...

Whispering LLaMA: A Cross-Modal Generative Error Correction ...

This marks a step towards a fresh paradigm in generative error correction within the realm of n-best hypotheses. Unlike the existing ranking-based rescoring ...

Multi-Modal and Multi-Granularity Generative Error Correction With ...

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

Generative Speech Recognition Error Correction with ... - NASA ADS

Abstract. We explore the ability of large language models (LLMs) to act as speech recognition post-processors that perform rescoring and error correction.

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 ...