research
∙
08/16/2023
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction
Text-to-Text Transfer Transformer (T5) has recently been considered for ...
share
research
∙
12/29/2022
Macro-block dropout for improved regularization in training end-to-end speech recognition models
This paper proposes a new regularization algorithm referred to as macro-...
research
∙
11/06/2022
An Empirical Study on L2 Accents of Cross-lingual Text-to-Speech Systems via Vowel Space
With the recent developments in cross-lingual Text-to-Speech (TTS) syste...
research
∙
10/20/2022
Transformer-based Global 3D Hand Pose Estimation in Two Hands Manipulating Objects Scenarios
This report describes our 1st place solution to ECCV 2022 challenge on H...
research
∙
09/30/2022
Contrastive Corpus Attribution for Explaining Representations
Despite the widespread use of unsupervised models, very few methods are ...
research
∙
06/10/2022
Learning to Estimate Shapley Values with Vision Transformers
Transformers have become a default architecture in computer vision, but ...
research
∙
04/04/2022
Into-TTS : Intonation Template based Prosody Control System
Intonations take an important role in delivering the intention of the sp...
research
∙
01/08/2022
Two-Pass End-to-End ASR Model Compression
Speech recognition on smart devices is challenging owing to the small me...
research
∙
11/19/2021
Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages
In this paper, we propose a three-stage training methodology to improve ...
research
∙
11/19/2021
A comparison of streaming models and data augmentation methods for robust speech recognition
In this paper, we present a comparative study on the robustness of two d...
research
∙
10/13/2021
Decision Attentive Regularization to Improve Simultaneous Speech Translation Systems
Simultaneous Speech-to-text Translation (SimulST) systems translate sour...
research
∙
05/04/2021
Streaming end-to-end speech recognition with jointly trained neural feature enhancement
In this paper, we present a streaming end-to-end speech recognition mode...
research
∙
12/29/2020
Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation
Recently, simultaneous translation has gathered a lot of attention since...
research
∙
12/14/2020
A review of on-device fully neural end-to-end automatic speech recognition algorithms
In this paper, we review various end-to-end automatic speech recognition...
research
∙
02/15/2020
Small energy masking for improved neural network training for end-to-end speech recognition
In this paper, we present a Small Energy Masking (SEM) algorithm, which ...
research
∙
01/02/2020
Attention based on-device streaming speech recognition with large speech corpus
In this paper, we present a new on-device automatic speech recognition (...
research
∙
12/28/2019
Improved Multi-Stage Training of Online Attention-based Encoder-Decoder Models
In this paper, we propose a refined multi-stage multi-task training stra...
research
∙
12/22/2019
power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition
In this paper, we describe the Maximum Uniformity of Distribution (MUD) ...
research
∙
12/22/2019
end-to-end training of a large vocabulary end-to-end speech recognition system
In this paper, we present an end-to-end training framework for building ...
research
∙
11/11/2019
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning
End-to-end Speech Translation (ST) models have several advantages such a...
research
∙
12/09/2017