1.9k citations · 3.5k across the 108 of their papers we have counts for
11 papers · 1 filter
Advancing Acoustic-to-Word CTC Model with Attention and Mixed-Units
Amit Das, Jinyu Li, Guoli Ye +2
The acoustic-to-word model based on the Connectionist Temporal Classification (CTC) criterion is a natural end-to-end (E2E) system directly targeting word as output unit. Two issue…
Cycle-Consistent Speech Enhancement
Zhong Meng, Jinyu Li, Yifan Gong +2
Feature mapping using deep neural networks is an effective approach for single-channel speech enhancement. Noisy features are transformed to the enhanced ones through a mapping net…
Adversarial Feature-Mapping for Speech Enhancement
Zhong Meng, Jinyu Li, Yifan Gong +2
Feature-mapping with deep neural networks is commonly used for single-channel speech enhancement, in which a feature-mapping network directly transforms the noisy features to the c…
Layer Trajectory LSTM
Jinyu Li, Changliang Liu, Yifan Gong
It is popular to stack LSTM layers to get better modeling power, especially when large amount of training data is available. However, an LSTM-RNN with too many vanilla LSTM layers…
Recent Progresses in Deep Learning based Acoustic Models (Updated)
Dong Yu, Jinyu Li
In this paper, we summarize recent progresses made in deep learning based acoustic models and the motivation and insights behind the surveyed techniques. We first discuss acoustic…
Developing Far-Field Speaker System Via Teacher-Student Learning
Jinyu Li, Rui Zhao, Zhuo Chen +4
In this study, we develop the keyword spotting (KWS) and acoustic model (AM) components in a far-field speaker system. Specifically, we use teacher-student (T/S) learning to adapt…