Spoken language identification DNN implemented in mxnet
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Updated
Jul 4, 2021 - Python
Spoken language identification DNN implemented in mxnet
Experiment configuration and metadata
An Web application Language Identification project uses Pytorch and Torchaudio to accurately identify spoken language from audio files.
An object model to the Ethnologue project for Pharo
The official implementation of the method discussed in the paper Improving Spoken Language Identification with Map-Mix(work accepted at ICASSP-2023)
A pipeline to isolate and transcribe one language in mixed-language speech
PHO-LID: A Unified Model to Incorporate Acoustic-Phonetic and Phonotactic Information for Language Identification
Source code of paper <End-to-End Language Diarization for Bilingual Code-switching Speech>
Spoken Language Identification on Common Voice and AudioSet using Deep Learning
End-to-end spoken language identification out of the box.
An awesome spoken LID repository. (Working in progress
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