Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition

We investigate the effectiveness of generative adversarial networks (GANs) for speech enhancement, in the context of improving noise robustness of automatic speech recognition (ASR) systems. Prior work [1] demonstrates that GANs can effectively suppress additive noise in raw waveform speech signals, improving perceptual quality metrics; however this technique was not justified in the context of...

متن کامل

An Introduction to Speech Sciences (Acoustic Analysis of Speech)

Speech sciences deal with the acoustical characteristics of speech by means of sophisticated soft wares as well as hard wares. Although, a speech science is a well known science in the developed countries, especially the western societies, however, it has been remained almost unknown in Iran, though, in recent years a group of scholars have been involved in this branch of science. The applicati...

متن کامل

Robust Speech Features and Acoustic Models for Speech Recognition

This thesis examines techniques to improve the robustness of automatic speech recognition (ASR) systems against noise distortions. The study is important as the performance of ASR systems degrades dramatically in adverse environments, and hence greatly limits the speech recognition application deployment in realistic environments. Towards this end, we examine a feature compensation approach and...

متن کامل

SEGAN: Speech Enhancement Generative Adversarial Network

Current speech enhancement techniques operate on the spectral domain and/or exploit some higher-level feature. The majority of them tackle a limited number of noise conditions and rely on first-order statistics. To circumvent these issues, deep networks are being increasingly used, thanks to their ability to learn complex functions from large example sets. In this work, we propose the use of ge...

متن کامل

Speech Enhancement with Applications in Speech Recognition

The objective of this research is to develop feature compensation techniques to make automatic speech recognition (ASR) systems more robust to noise distortions. The research is important as the performance of ASR systems degrades dramatically in adverse environments, and hence greatly limits the speech recognition application deployment. In this report, we aim to build a generic framework for ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Signal Processing Letters

سال: 2019

ISSN: 1070-9908,1558-2361

DOI: 10.1109/lsp.2018.2880285