This paper describes an accurate unsupervised speaker adaptation method for lecture style spontaneous speech recognition using multiple LVCSR systems.

An Unsupervised Speaker Adaptation Method for Lecture-Style Spontaneous Speech Recognition Using Multiple Recognition Systems. Authors. Seiichi NAKAGAWA ...

The aim of this work is to improve speech recognition performance particularly on conversational speech by using units other than phones as a basis for ...

Summary: This paper describes an accurate unsupervised speaker adaptation method for lecture style spontaneous speech recognition using multiple LVCSR systems.

Bibliographic details on An Unsupervised Speaker Adaptation Method for Lecture-Style Spontaneous Speech Recognition Using Multiple Recognition Systems.

This paper describes an accurate unsupervised speaker adapta- tion method for lecture speech recognition using multiple LVC-.

Jun 10, 2024 · This paper describes wav2vec-U, short for wav2vec Unsupervised, a method to train speech recognition models without any labeled data.

In this method, closer speakers are selected from training speakers and the acoustic models are trained by using their utterances for each evaluation speaker.

SUMMARY. In this paper, we propose a new speaker-class modeling and its adaptation method for the LVCSR system and evaluate the method.

The aim of this work is to improve the recognition performance of spontaneous speech. In order to achieve the purpose, the authors of this chapter propose ...