基于半帧率前端的分布式语音识别自适应多帧率方案

Z. Tan, P. Dalsgaard, B. Lindberg
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引用次数: 8

摘要

本文研究了一种用于分布式语音识别(DSR)的半帧率前端。这项工作的灵感来自于对低比特率的需求,并被已知存在于全帧率(FFR)功能中的冗余所证明。在DSR架构的客户端,与FFR相比,HFR的实现是通过使用双帧移位来实现的,从而实现了一半的比特率。在服务器端,每个HFR特征向量重复一次以构建FFR特征,因此在识别后端不需要更改。实验证明,HFR实现的性能与FFR相当,并且每个HFR特征向量的重复对于HFR前端保持性能至关重要。在HFR有效性的激励下,进一步提出了一些基于ffr的DSR方案。最后,本文介绍了一种自适应多帧率方案,该方案中DSR系统通过在基于HFR和基于ffr的方案之间切换来适应传输信道的特性。该多帧率方案优于基本FFR方案
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Multi-Frame-Rate Scheme for Distributed Speech Recognition Based on a Half Frame-Rate Front-End
In this paper a half frame-rate (HFR) front-end is investigated for distributed speech recognition (DSR). The work is inspired from the need for low bit-rate and is justified by the redundancies known to exist in full frame-rate (FFR) features. At the client-side in the DSR architecture, implementation of the HFR is carried out by using double frame shifting as compared to the FFR resulting in the achievement of half the bit rate. At the server-side, each HFR feature vector is repeated once to construct the FFR features and no changes are therefore required in the recognition back-end. It is experimentally justified that the performance achieved by HFR is comparable to FFR and that repetition of each HFR feature vector is critical for the HFR front-end to maintain the performance. Motivated by the effectiveness of HFR, a number of additional FFR-based DSR schemes are further presented. Finally, this paper introduces an adaptive multi-frame-rate scheme in which the DSR system adapts to the characteristics of the transmission channel by switching between HFR and the FFR-based schemes. This multi-frame-rate scheme is found to be superior to the basic FFR
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