111 citations · 552 across the 49 of their papers we have counts for
9 papers · 1 filter
Simultaneous Neural Machine Translation using Connectionist Temporal Classification
Katsuki Chousa, Katsuhito Sudoh, Satoshi Nakamura
Simultaneous machine translation is a variant of machine translation that starts the translation process before the end of an input. This task faces a trade-off between translation…
Using Panoramic Videos for Multi-person Localization and Tracking in a 3D Panoramic Coordinate
Fan Yang, Feiran Li, Yang Wu +2
3D panoramic multi-person localization and tracking are prominent in many applications, however, conventional methods using LiDAR equipment could be economically expensive and also…
Speech-to-speech Translation between Untranscribed Unknown Languages
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
In this paper, we explore a method for training speech-to-speech translation tasks without any transcription or linguistic supervision. Our proposed method consists of two steps: F…
Deja-vu: Double Feature Presentation and Iterated Loss in Deep Transformer Networks
Andros Tjandra, Chunxi Liu, Frank Zhang +5
Deep acoustic models typically receive features in the first layer of the network, and process increasingly abstract representations in the subsequent layers. Here, we propose to f…
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
Fan Yang, Sakriani Sakti, Yang Wu +1
Although skeleton-based action recognition has achieved great success in recent years, most of the existing methods may suffer from a large model size and slow execution speed. To…
Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh +1
We propose a novel method for selecting coherent and diverse responses for a given dialogue context. The proposed method re-ranks response candidates generated from conversational…
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain
Johanes Effendi, Andros Tjandra, Sakriani Sakti +1
Previously, a machine speech chain, which is based on sequence-to-sequence deep learning, was proposed to mimic speech perception and production behavior. Such chains separately pr…
VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019
Andros Tjandra, Berrak Sisman, Mingyang Zhang +3
We describe our submitted system for the ZeroSpeech Challenge 2019. The current challenge theme addresses the difficulty of constructing a speech synthesizer without any text or ph…
An Incremental Turn-Taking Model For Task-Oriented Dialog Systems
Andrei C. Coman, Koichiro Yoshino, Yukitoshi Murase +2
In a human-machine dialog scenario, deciding the appropriate time for the machine to take the turn is an open research problem. In contrast, humans engaged in conversations are abl…