Work

Densely-connected Convolutional Recurrent Network for Fundamental Frequency Estimation in Noisy Speech

Year: 2022

Type: conference-paper

Abstract: in turn. Experimental results show that the cascade model brings further improvements to the DC-CRN model, especially in low signal-to-noise ratio (SNR) conditions.

Source: Interspeech (USB)

DOI: 10.21437/interspeech.2022-11156

Authors: Yixuan Zhang, Heming Wang, DeLiang Wang

Institution: The Ohio State University

Language: English

Topic: Speech and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Institute on Deafness and Other Communication Disorders

Award: Speech segregation to improve intelligility of reverberant-noisy speech

OpenAlex ID: W4297841560

FWCI: 0.533

Cites:

Cited by: 5

Related to: 10