SPRING LAB GUJARATI-STREAMING

About Model

Automatic Speech Recognition (ASR) model for Gujarati speech recognition, developed using the Icefall toolkit with the Zipformer architecture. The model is trained on the Gujarati dataset consisting of approximately 300 hours of labelled speech. It is trained on 16 kHz audio, including naturally occurring code-mixed speech, enabling robust recognition of bilingual Indian speech patterns. The system is based on a 65M-parameter Zipformer-Medium encoder, paired with an RNN-T prediction network and joiner, forming a low-latency streaming ASR model with 16 encoder layers and a 512-dimensional representation.