Gupta et al., 2022 - Google Patents
Estimation of speaker age and height from speech signal using bi-encoder transformer mixture modelGupta et al., 2022
View PDF- Document ID
- 10471004667813872150
- Author
- Gupta T
- Truong D
- Anh T
- Siong C
- Publication year
- Publication venue
- arXiv preprint arXiv:2203.11774
External Links
Snippet
The estimation of speaker characteristics such as age and height is a challenging task, having numerous applications in voice forensic analysis. In this work, we propose a bi- encoder transformer mixture model for speaker age and height estimation. Considering the …
- 239000000203 mixture 0 title abstract description 11
Classifications
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/14—Speech classification or search using statistical models, e.g. hidden Markov models [HMMs]
- G10L15/142—Hidden Markov Models [HMMs]
- G10L15/144—Training of HMMs
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- G10L19/00—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis
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