Improving children's mismatched ASR through adaptive pitch compensation

dc.contributor.authorShahnawazuddin, Syed
dc.date.accessioned2016-08-31T07:45:33Z
dc.date.accessioned2023-10-20T07:28:18Z
dc.date.available2016-08-31T07:45:33Z
dc.date.available2023-10-20T07:28:18Z
dc.date.issued2016
dc.descriptionSupervisor: Rohit Sinhaen_US
dc.description.abstractWith the progress made in the speech processing over the last few decades, an increasing number of user applications employing automatic speech recognition (ASR) systems are being developed. In such human-machine interaction (HMI) applications, the ASR system is often accessed by both the adults and the children. It is well known that the ASR systems trained on the adults' speech exhibit a severely degraded recognition performance when used for transcribing the speech data from the child speakers and vice-versa. One of the ways to achieve good ASR performance for both the adults and the children is to pool a large amount of data from both the group of speakers in the training of the system. The scarcity of the children's speech corpus makes this approach infeasible. On the other hand, pooling a limited amount of children's data with the adults' training set is not found to be very effective.en_US
dc.identifier.otherROLL NO. 10610209
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/736
dc.language.isoenen_US
dc.relation.ispartofseriesTH-1509;
dc.subjectELECTRONICS AND ELECTRICAL ENGINEERINGen_US
dc.titleImproving children's mismatched ASR through adaptive pitch compensationen_US
dc.typeThesisen_US
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