This open-weight Wav2Vec2 model is fine-tuned for automatic speech recognition in Telugu. Developers and researchers can load it with the Transformers library for local speech-to-text inference and related experiments.
Wav2vec2 Large Xlsr 53 Telugu is a Voice, TTS & speech project. It focuses on recognizing Telugu speech without building and training an automatic speech-recognition model from scratch. It is built as an open-source project for developers and researchers building Telugu speech-recognition applications. Wav2vec2 Large Xlsr 53 Telugu is open source under the Open Source license. Wav2vec2 Large Xlsr 53 Telugu is available on the web, the command line, and API, and it can be self-hosted.
Anurag Singh builds and maintains Wav2vec2 Large Xlsr 53 Telugu. Key capabilities include telugu transcription, speech recognition, and wav2Vec2 architecture.
Summary written by a language model from the project’s public pages.
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