Swecha Gonthuka Rayalaseema Dialect

--- language: - te license: apache-2.0 library_name: transformers pipeline_tag: automatic-speech-recognition base_model: swechatelangana/swecha-gonthuka-asr tags: - telugu - rayalaseema - automatic-speech-recognition - wav2vec2 - speech-recognition --- # Swecha Gonthuka Rayalaseema Telugu ASR Model ## Model Description This model is a fine-tuned Automatic Speech Recognition (ASR) model developed for recognizing the Rayalaseema dialect of Telugu. It is based on the Wav2Vec2 architecture and fine-tuned on Telugu speech collected through the Swecha Gonthuka initiative. ## Model Details - **Task:** Automatic Speech Recognition (ASR) - **Architecture:** Wav2Vec2 - **Framework:** Hugging Face Transformers - **Language:** Telugu (`te`) - **Dialect:** Rayalaseema - **Base Model:** swechatelangana/swecha-gonthuka-asr ## Intended Use This model is intended for: - Telugu speech transcription - Rayalaseema dialect recognition - Speech dataset research - Educational and accessibility applications ## Training Data The model was fine-tuned using Telugu speech recordings collected from native speakers of the Rayalaseema dialect. ## Evaluation The model was evaluated using Word Error Rate (WER). Performance depends on audio quality and speaker characteristics. ## Limitations - Designed primarily for Rayalaseema Telugu. - Performance may decrease for other Telugu dialects. - Background noise can reduce transcription accuracy. ## Citation If you use this model in your work, please cite the Swecha Gonthuka project. ## License Apache License 2.0

Source context: 6 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo deekshitha1206/swecha-gonthuka-rayalaseema-dialect

Source context: 55 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo deekshitha1206/swecha-gonthuka-rayalaseema-dialect