Improving Uyghur ASR systems with decoders using morpheme-based language models

no code implementations • 3 Mar 2020 • Zicheng Qiu, Wei Jiang, Turghunjan Mamut

The experimental results show that the decoding based on the static and fully composed graph reduces state-of-the-art Word Error Rate (WER) on the clean and noiseless speech test task in THUYG-20 to 14. 24%.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2