Detection Technologies for Children's Speech

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• Saeid Safavi, University of Birmingham
• Wednesday 04 February 2015, 14:00-15:00
• Gisbert Kapp, N123.

If you have a question about this talk, please contact Dr. Philip Weber.

Speech signals contain important information about a speaker, such as age, gender, language, accent, and emotional/psychological state. Automatic recognition of these types of information has a wide range of commercial, medical and forensic applications such as interactive voice response systems, service customization, natural human-machine interaction, recognizing the type of pathology of speakers, and directing the forensic investigation process.

The main focus of our research is on detecting different speaker characteristics from children’s speech, which is previously reported as a more challenging subject compared to adult (for automatic speech recognition).

This talk is part of the Speech Recognition by Synthesis Seminars series.

This talk is included in these lists:

• Gisbert Kapp, N123
• Speech Recognition by Synthesis Seminars

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