Progress towards speech models that model speech

Martin Russell
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引用次数: 7

Abstract

This paper presents a personal view of recent advances in automatic speech recognition. The analysis is concerned with progress in speech pattern modelling, rather than recogniser performance. Despite the limitations of current approaches, it is argued that extension and development of these techniques provides a viable way forward. It is further suggested that the significance of a number of recent developments, such as sub-band speech recognition and segment modelling, is primarily in their potential for overcoming fundamental limitations of current HMM-based approaches, and not in the short-term improvement in recognition accuracy which has been achieved.
语音模型的进展,模拟语音
本文就自动语音识别的最新进展提出个人看法。该分析关注的是语音模式建模的进展,而不是识别器的性能。尽管目前的方法有局限性,但有人认为,这些技术的扩展和发展提供了一条可行的前进道路。进一步指出,最近的一些发展,如子带语音识别和分段建模,其意义主要在于它们克服当前基于hmm的方法的基本限制的潜力,而不是在已经实现的识别准确性的短期改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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