Target Speech Extraction (TSE) traditionally relies on explicit clues about the speaker’s identity like enrollment audio, face images, or videos, which may not always be available. In this paper, we ...

Recently, spoken language models (SLMs) have been highlighted as next-generation technology that surpasses the limitations of ...

Se Jin Park, a researcher from Professor Yong Man Ro’s team at KAIST, has announced 'SpeechSSM', a spoken language model ...

Ph.D. candidate Sejin Park> Se Jin Park, a researcher from Professor Yong Man Ro's team at KAIST, has announced 'SpeechSSM', ...

How does this work? The interface uses electrodes, either implanted directly on the brain’s surface or placed on the scalp, ...

Unlike previous systems that convert brain signals into text, this BCI synthesizes actual speech almost instantaneously. The ...

Thanks to a team at the University of California, Davis, there's a new brain-computer interface (BCI) system that's opening ...

Intron, a cutting-edge Africa-centric voice technology platform, is accelerating the delivery of justice, patient care, and customer experiences across Africa through Sahara, a suite of best-in-class ...

The term BhashaSetu (literally "language bridge") reflects the challenge's overarching goal: to create digital tools that ...

Dr. Alec Cooper is spending time in front of a microphone reciting common sayings, elaborate poems and his favourite books as ...

We propose PromptTTS++, a prompt-based text-to-speech (TTS) synthesis system that allows control over speaker identity using natural language descriptions. To control speaker identity within the ...

While recent large-scale text-to-speech (TTS) models have achieved significant progress, they still fall shorts in speech quality, similarity, and prosody. Considering that speech intricately ...