ESCA Tutorial and Research Workshop on Speech Input/Output Assessment and Speech Databases Noordwijkerhout, The Netherlands September 20-23, 1989

Speech Database Development: TIMIT and Beyond

Victor Zue, Stephanie Seneff, James Glass

Spoken Language Systems Group, Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, U.S.A.

Automatic speech recognition by computers can provide the most natural and efficient method of communication between humans and computers. While in recent years high performance speech recognition systems are beginning to emerge from research institutions, scientists unequivocally agree that the deployment of speech recognition systems into realistic operating environments will require many hours of speech data to help us model the inherent variability in the speech signal. This paper describes the experiences of researchers at MIT in the collection of two large speech databases.

Full Paper

Bibliographic reference.  Zue, Victor / Seneff, Stephanie / Glass, James (1989): "Speech database development: TIMIT and beyond", In SIOA-1989, Vol.2, 35-40.