Machine learning methods for language

Hierarchical Pronunciation Assessment with Multi-Aspect Attention

Selecting Language Models Features via Software-Hardware Co-Design

A Perceptual Neural Audio Coder with A Mean-Scale Hyperprior

Hybrid Neural Network With Cross- and Self-Module Attention Pooling for Text-Independent Speaker Verification

A BIDIRECTIONAL JOINT MODEL FOR SPOKEN LANGUAGE UNDERSTANDING

LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translation

Dynamic TF-TDNN: Dynamic Time Delay Neural Network based on Temporal-Frequency Attention for Dialect Recognition

An Asynchronous Updating Reinforcement Learning Framework for Task-oriented Dialog System

Heuristic Masking for Text Representation Pretraining

Learning ASR pathways: A sparse multilingual ASR model

LABEL-GUIDED CONTRASTIVE LEARNING FOR OUT-OF-DOMAIN DETECTION

Understanding Shared Speech-Text Representations