A Quest for Formant-Based Compact Nonuniform Trapezoidal Filter Banks for Speech Processing with VGG16

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Cevahir Parlak, Yusuf Altun
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引用次数: 0

Abstract

In this text, we discuss the filter banks used for speech analysis and propose a novel filter bank for speech processing applications. Filter banks are building blocks of speech processing applications. Multiple filter strategies have been proposed, including Mel, PLP, Seneff, Lyon, and Gammatone filters. MFCC is a transformed version of Mel filters and is still a state-of-the-art method for speech recognition applications. However, 40 years after their debut, time is running out to launch new structures as novel speech features. The proposed acoustic filter banks (AFB) are innovative alternatives to dethrone Mel filters, PLP filters, and MFCC features. Foundations of AFB filters are based on the formant regions of vowels and consonants. In this study, we pioneer an acoustic filter bank comprising 11 frequency regions and conduct experiments using the VGG16 model on the TIMIT and Speech Command V2 datasets. The outcomes of the study concretely indicate that MFCC, Mel, and PLP filters can effectively be replaced with novel AFB filter bank features.

Abstract Image

探索基于格式的紧凑型非均匀梯形滤波器组,用于 VGG16 语音处理
在本文中,我们讨论了用于语音分析的滤波器组,并提出了一种用于语音处理应用的新型滤波器组。滤波器组是语音处理应用的基石。目前已提出多种滤波器策略,包括 Mel、PLP、Seneff、Lyon 和 Gammatone 滤波器。MFCC 是梅尔滤波器的转换版本,目前仍是语音识别应用中最先进的方法。然而,在其问世 40 年后,推出新结构作为新型语音特征的时间已经不多了。所提出的声学滤波器组(AFB)是一种创新的替代方法,可以取代 Mel 滤波器、PLP 滤波器和 MFCC 特征。声学滤波器库的基础是元音和辅音的声门区域。在本研究中,我们首创了由 11 个频率区域组成的声学滤波器库,并使用 VGG16 模型在 TIMIT 和 Speech Command V2 数据集上进行了实验。研究结果具体表明,MFCC、Mel 和 PLP 滤波器可以有效地替代新型 AFB 滤波器库特征。
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来源期刊
Circuits, Systems and Signal Processing
Circuits, Systems and Signal Processing 工程技术-工程:电子与电气
CiteScore
4.80
自引率
13.00%
发文量
321
审稿时长
4.6 months
期刊介绍: Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area. The scope of the journal is broad, ranging from mathematical foundations to practical engineering design. It encompasses, but is not limited to, such topics as linear and nonlinear networks, distributed circuits and systems, multi-dimensional signals and systems, analog filters and signal processing, digital filters and signal processing, statistical signal processing, multimedia, computer aided design, graph theory, neural systems, communication circuits and systems, and VLSI signal processing. The Editorial Board is international, and papers are welcome from throughout the world. The journal is devoted primarily to research papers, but survey, expository, and tutorial papers are also published. Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.
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