Exploring Residual Cepstral Features for Spoken Language Identification
Author:
Affiliation:
1. Dhirubhai Ambani Institute of Information and Communication Technology,Speech Research Lab,Gujarat,India
2. Samsung Research Institute,Bangalore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317546.pdf?arnumber=10317546
Reference18 articles.
1. Linear Frequency Residual Cepstral Features for Replay Spoof Detection on ASVSpoof 2019
2. Novel Linear Frequency Residual Cepstral Features for Replay Attack Detection;tak;InterSpeech,2018
3. VOXLINGUA107: A Dataset for Spoken Language Recognition
4. Linear prediction: A tutorial review
5. Attention-based models for text-dependent speaker verification;chowdhury;2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),2018
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