Even though over seven hundred ethnic languages are spoken in Indonesia, the available
technology remains limited that could support communication within indigenous communities …

Recent end-to-end text-to-speech synthesis (TTS) systems have successfully synthesized
high-quality speech. However, TTS speech intelligibility degrades in noisy environments …

This paper presents an approach to detect rude or swear-words in Indonesian transcribed
speech by using Support Vector Machine and various combinations of text and acoustic …

Attention-based sequence-to-sequence automatic speech recognition (ASR) requires a
significant delay to recognize long utterances because the output is generated after receiving …

Although machine speech chains were originally proposed to mimic a closed-loop human
speech chain mechanism with auditory feedback, the existing machine speech chains are …

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 …

Automatic speech recognition (ASR) systems are often deployed together with a voice activity
detection (VAD) system to run ASR only on the voiced acoustic signals. Although it can …

Real-time machine speech translation systems mimic human interpreters and translate
incoming speech from a source language to the target language in real-time. Such systems can …

A common approach for text-to-speech (TTS) in noisy conditions is offline fine-tuning, which
is generally utilized on static noises and predefined conditions. We recently proposed a self-…

Simultaneous speech interpretation or translation is a required task to bridge a real-time
multilingual human-to-human communication. Speech-to-speech translation (S2ST) system …