Analyse d'erreurs de transcriptions phonémiques automatiques d'une langue « rare » : le na (mosuo) (Analyzing errors in automatic phonemic transcriptions of the Na (Mosuo) language (SinoTibetan family) Automatic phonemic transcription tools now reach high levels of accuracy on a single speaker with relatively small amounts of training data: on the order two to three hours of transcribed speech).
Alexis MichaudOliver AdamsSeverine GuillaumeGuillaume WisniewskiPublished in: JEP-TALN-RECITAL (1) (2020)
Keyphrases
- high levels
- automatic transcription
- spontaneous speech
- training data
- automatic speech recognition
- speaker verification
- classification accuracy
- semi automatic
- decision trees
- broadcast news
- spoken language
- text categorization
- speech recognition
- language acquisition
- hidden markov models
- natural language
- naive bayes
- test data
- language processing
- multi modal
- high accuracy
- natural language processing
- human machine interaction
- speech transcripts
- speech sounds
- machine learning