Automatic classification of spoken languages using diverse acoustic features

Keyphrases

• Spoken Language 100%
• Automatic Classification 100%
• Acoustic Features 100%
• Language Identification System 100%
• Machine Learning Techniques 66%
• Recording Interval 66%
• Random Forest 33%
• Language Model 33%
• Cepstrum 33%
• Speech Corpus 33%
• Classification Process 33%
• System Use 33%
• Hidden Markov Model 33%
• Low-level Features 33%
• Telephone Speech 33%
• Oregon 33%
• Relative Spectrum 33%
• Speech Results 33%
• Speech Files 33%

Computer Science

• Automatic Classification 100%
• Language Identification 100%
• Spoken Language 100%
• Acoustic Feature 100%
• speech corpus 33%
• Machine Learning Technique 33%
• Language Modeling 33%
• Random Decision Forest 33%
• Telephone 33%
• Classification Process 33%
• Optical Spectrum 33%
• Machine Learning 33%
• Learning System 33%