Recently, representation learning for text and speech has successfully improved many
language related tasks. However, all existing methods suffer from two limitations:(a) they …

PaddleSpeech is an open-source all-in-one speech toolkit. It aims at facilitating the
development and research of speech processing technologies by providing an easy-to-use …

Simultaneous speech-to-text translation is widely useful in many scenarios. The
conventional cascaded approach uses a pipeline of streaming ASR followed by …

Text-to-speech synthesis (TTS) has witnessed rapid progress in recent years, where neural
methods became capable of producing audios with high naturalness. However, these efforts …

This paper presents an automatic speech translation system aimed at live subtitling of
conference presentations. We describe the overall architecture and key processing …

Simultaneous Speech-to-Text translation serves a critical role in real-time crosslingual
communication. Despite the advancements in recent years, challenges remain in achieving …

Incremental text-to-speech (TTS) synthesis generates utterances in small linguistic units for
the sake of real-time and low-latency applications. We previously proposed an incremental …

Simultaneous interpretation is an especially challenging form of translation because it
requires converting speech from one language to another in real-time. Though prior work …

We present a direct simultaneous speech-to-speech translation (Simul-S2ST) model,
Furthermore, the generation of translation is independent from intermediate text …

Speech translation is the task of translating speech in one language to text or speech in
another language, while simultaneous translation aims at lower translation latency by …