基于神经形态单位的元音-辅音语音分割

P. G. Vilda, M. V. R. Biarge, Cristina Muñoz-Mulas, Luis Miguel Mazaira-Fernández, J. M. Ferrández
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引用次数: 1

摘要

目前,语言仍然是一个非常复杂的过程,远没有被完全理解。对其自动处理(识别、合成、分形、分割等)中特定的开放性问题有一些深入的了解,从对听觉系统如何进行的理解中获得神经形态和知识可能是至关重要的。本论文必须被看作是一系列初步工作的一部分,这些工作试图将这些理解转化为解决特定任务,如语音分割和标记,以与听觉通路和皮层中发现的神经资源平行的方式。揭示了一些基本单元的生物启发(神经形态)设计,这些单元涵盖了如峰跟踪或峰动力学等简单任务。在进一步的步骤中,它显示了使用这些单元的简单神经回路如何独立于说话者成功地传递元音-辅音分离。本文最后讨论了如何使用这种处理来开发特定的应用,如语音分割和二分化以及说话人特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vowel-Consonant Speech Segmentation by Neuromorphic Units
For the time being speech is still a much complex process far from being fully understood. To gain some insight on specific open problems in its automatic treatment (recognition, synthesis, diarization, segmentation, etc.) neuromorphisms and knowledge derived from the understanding on how the Auditory System proceeds may be of crucial importance. The present paper must be seen as in a series of preliminary work carried out trying to translate some of this understanding to solve specific tasks as speech segmentation and labelling in a parallel way to the neural resources found in the Auditory Pathways and Cortex. The bio-inspired (neuromorphic) design of some elementary units covering simple tasks as formant tracking or formant dynamics is exposed. In a further step it is shown how simply neural circuits employing these units may convey successful vowel-consonant separation independently of the speaker. The paper is completed with the discussion on how this processing may be used to develop specific applications as in Speech Segmentation and Diarization and in Speaker Characterization.
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