Title :
Improvements in children´s speech recognition performance
Author :
Das, Subrata ; Nix, Don ; Picheny, Michael
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Abstract :
There are several reasons why conventional speech recognition systems modeled on adult data fail to perform satisfactorily on children´s speech input. For instance, children´s vocal characteristics differ significantly from those of adults. In addition, their choices of vocabulary and sentence construction modalities usually do not conform to adult patterns. We describe comparative studies demonstrating the performance gain realized by adopting to children´s acoustic and language model data to construct a children´s speech recognition system
Keywords :
acoustic signal processing; error statistics; natural languages; speech processing; speech recognition; acoustic model data; adult data; adult patterns; children speech recognition performance; language model data; performance gain; sentence construction; speech input; speech recognition systems; vocabulary; vocal characteristics; word recognition error rates; Command and control systems; Databases; Degradation; Error analysis; Frequency; Loudspeakers; Natural languages; Performance gain; Speech recognition; Vocabulary;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.674460