Publication

A Two-stage Approach to Speech Bandwidth Extension

Interspeech


Abstract

Algorithms for speech bandwidth extension (BWE) may work in either the time domain or the frequency domain. Time-domain methods often do not sufficiently recover the high-frequency content of speech signals; frequency-domain methods are better at recovering the spectral envelope, but have difficulty reconstructing the details of the waveform. In this paper, we propose a two-stage approach for BWE, which enjoys the advantages of both time- and frequency-domain methods. The first stage is a frequency-domain neural network, which predicts the high-frequency part of the wide-band spectrogram from the narrow-band input spectrogram. The wide-band spectrogram is then converted into a time-domain waveform, and passed through the second stage to refine the temporal details. For the first stage, we compare a convolutional recurrent network (CRN) with a temporal convolutional network (TCN), and find that the latter is able to capture long-span dependencies equally well as the former while using a lot fewer parameters. For the second stage, we enhance the Wave-U-Net architecture with a multi-resolution short-time Fourier transform (MSTFT) loss function. A series of comprehensive experiments show that the proposed system achieves superior performance in speech enhancement (measured by both time-and frequency-domain metrics) as well as speech recognition.

Related Publications

All Publications

Interspeech - August 31, 2021

slimIPL: Language-Model-Free Iterative Pseudo-Labeling

Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert

SIGDIAL - July 29, 2021

Getting to Production with Few-shot Natural Language Generation Models

Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White

ACL - August 2, 2021

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units

Wei-Ning Hsu, David Harwath, Tyler Miller, Christopher Song, James Glass

Interspeech - August 30, 2021

SUPERB: Speech Understanding and PERformance Benchmark

Shu-wen Yang, Po-Han Chi, Yung-Sung Chuang, Cheng-I Lai, Kushal Lakhotia, Yist Y. Lin, Andy T. Liu, Jiatong Shi, Xuankai Chang, Daniel Lin, Tzu-Hsien Huang, Wei-Cheng Tseng, Godic Lee, Darong Liu, Zili Huang, Annie Dong, Shang-Wen Li, Shinji Watanabe, Abdelrahman Mohamed, Hung-yi Lee

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy