We study a streamable attention-based encoder-decoder model in which eit...
The integration of language models for neural machine translation has be...
Automatic Arabic diacritization is useful in many applications, ranging ...
This work studies knowledge distillation (KD) and addresses its constrai...
Neural speaker embeddings encode the speaker's speech characteristics th...
Language barriers present a great challenge in our increasingly connecte...
Speaker adaptation is important to build robust automatic speech recogni...
The recently proposed conformer architecture has been successfully used ...
To improve the performance of state-of-the-art automatic speech recognit...
Subword units are commonly used for end-to-end automatic speech recognit...
Attention-based encoder-decoder (AED) models learn an implicit internal
...
Recent publications on automatic-speech-recognition (ASR) have a strong ...