Work

Enhancement and Analysis of Conversational Speech: JSALT 2017

Year: 2018

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp.2018.8462468

Authors: Neville Ryanta, Elika Bergelson, Kenneth Church, Alejandrina Cristia, Jun Du, Sriram Ganapathy, Sanjeev Khudanpur, Diana Kowalski, Mahesh Krishnamoorthy, Rajat Kulshreshta, Mark Liberman, Yu-Ding Lu, Matthew Maciejewski, Florian Metze, Jan Profant, Lei Sun, Yu Tsao, Zhou Yu

Institutions: University of Pennsylvania, Duke University, IBM (United States), École Normale Supérieure - PSL, Laboratoire de Sciences Cognitives et Psycholinguistique, University of Science and Technology of China, Indian Institute of Science Bangalore, Johns Hopkins University, University of Illinois Urbana-Champaign, Apple (United States), Carnegie Mellon University, Research Center for Information Technology Innovation, Academia Sinica, Academia Sinica, Brno University of Technology, University of California, Davis

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Agence Nationale de la Recherche

Award: Analyzing Child Language Experiences Around the World

OpenAlex ID: W2891237889

FWCI: 0.796

Cites: 34

Cited by: 12

Related to: 10