111 citations · 224 across the 31 of their papers we have counts for
7 papers · 2 filters
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS
Katsuhito Sudoh, Takatomo Kano, Sashi Novitasari +3
This paper presents a newly developed, simultaneous neural speech-to-speech translation system and its evaluation. The system consists of three fully-incremental neural processing…
Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis
Sashi Novitasari, Andros Tjandra, Sakriani Sakti +1
Even though over seven hundred ethnic languages are spoken in Indonesia, the available technology remains limited that could support communication within indigenous communities as…
Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition
Sashi Novitasari, Andros Tjandra, Sakriani Sakti +1
Attention-based sequence-to-sequence automatic speech recognition (ASR) requires a significant delay to recognize long utterances because the output is generated after receiving en…
Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time
Sashi Novitasari, Andros Tjandra, Tomoya Yanagita +2
Inspired by a human speech chain mechanism, a machine speech chain framework based on deep learning was recently proposed for the semi-supervised development of automatic speech re…
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework
Johanes Effendi, Andros Tjandra, Sakriani Sakti +1
Previous research has proposed a machine speech chain to enable automatic speech recognition (ASR) and text-to-speech synthesis (TTS) to assist each other in semi-supervised learni…
The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
Ewan Dunbar, Julien Karadayi, Mathieu Bernard +6
We present the Zero Resource Speech Challenge 2020, which aims at learning speech representations from raw audio signals without any labels. It combines the data sets and metrics f…