research
∙
01/08/2023
SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain
This paper introduces SpeeChain, an open-source Pytorch-based toolkit de...
share
research
∙
12/19/2022
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
We present NusaCrowd, a collaborative initiative to collect and unite ex...
research
∙
08/27/2022
Actor-identified Spatiotemporal Action Detection – Detecting Who Is Doing What in Videos
The success of deep learning on video Action Recognition (AR) has motiva...
research
∙
06/01/2022
Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition
Research about brain activities involving spoken word production is cons...
research
∙
05/14/2022
Improved Consistency Training for Semi-Supervised Sequence-to-Sequence ASR via Speech Chain Reconstruction and Self-Transcribing
Consistency regularization has recently been applied to semi-supervised ...
research
∙
11/10/2020
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS
This paper presents a newly developed, simultaneous neural speech-to-spe...
research
∙
11/04/2020
Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis
Even though over seven hundred ethnic languages are spoken in Indonesia,...
research
∙
11/04/2020
Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition
Attention-based sequence-to-sequence automatic speech recognition (ASR) ...
research
∙
11/04/2020
Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time
Inspired by a human speech chain mechanism, a machine speech chain frame...
research
∙
11/04/2020
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework
Previous research has proposed a machine speech chain to enable automati...
research
∙
10/12/2020
The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
We present the Zero Resource Speech Challenge 2020, which aims at learni...
research
∙
07/07/2020
ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation
We aim to improve the performance of Multiple Object Tracking and Segmen...
research
∙
07/07/2020
ReMOTS: Refining Multi-Object Tracking and Segmentation
We aim to improve the performance of Multiple Object Tracking and Segmen...
research
∙
05/24/2020
Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge
In this paper, we report our submitted system for the ZeroSpeech 2020 ch...
research
∙
11/24/2019
Using panoramic videos for multi-person localization and tracking in a 3D panoramic coordinate
This work proposes a new human-related video processing task named 3D pa...
research
∙
10/02/2019
Speech-to-speech Translation between Untranscribed Unknown Languages
In this paper, we explore a method for training speech-to-speech transla...
research
∙
07/23/2019
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
Although skeleton-based action recognition has achieved great success in...
research
∙
06/03/2019
From Speech Chain to Multimodal Chain: Leveraging Cross-modal Data Augmentation for Semi-supervised Learning
The most common way for humans to communicate is by speech. But perhaps ...
research
∙
05/27/2019
VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019
We describe our submitted system for the ZeroSpeech Challenge 2019. The ...
research
∙
04/25/2019
The Zero Resource Speech Challenge 2019: TTS without T
We present the Zero Resource Speech Challenge 2019, which proposes to bu...
research
∙
10/31/2018
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator
The speech chain mechanism integrates automatic speech recognition (ASR)...
research
∙
07/22/2018
Multi-scale Alignment and Contextual History for Attention Mechanism in Sequence-to-sequence Model
A sequence-to-sequence model is a neural network module for mapping two ...
research
∙
03/28/2018
Machine Speech Chain with One-shot Speaker Adaptation
In previous work, we developed a closed-loop speech chain model based on...
research
∙
02/28/2018
Tensor Decomposition for Compressing Recurrent Neural Network
In the machine learning fields, Recurrent Neural Network (RNN) has becom...
research
∙
02/23/2018
Interactive Image Manipulation with Natural Language Instruction Commands
We propose an interactive image-manipulation system with natural languag...
research
∙
02/13/2018
Structured-based Curriculum Learning for End-to-end English-Japanese Speech Translation
Sequence-to-sequence attentional-based neural network architectures have...
research
∙
10/30/2017
Sequence-to-Sequence ASR Optimization via Reinforcement Learning
Despite the success of sequence-to-sequence approaches in automatic spee...
research
∙
09/22/2017
Attention-based Wav2Text with Feature Transfer Learning
Conventional automatic speech recognition (ASR) typically performs multi...
research
∙
07/16/2017
Listening while Speaking: Speech Chain by Deep Learning
Despite the close relationship between speech perception and production,...
research
∙
06/07/2017
Gated Recurrent Neural Tensor Network
Recurrent Neural Networks (RNNs), which are a powerful scheme for modeli...
research
∙
05/23/2017
