Expanding the language coverage of speech technology has the potential to improve
access to information for many more people. However, current speech technology is …

Speech neuroprostheses have the potential to restore communication to people living with
paralysis, but naturalistic speed and expressivity are elusive. Here we use high-density …

Decoding speech from brain activity is a long-awaited goal in both healthcare and
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …

Speech enhancement and separation are two fundamental tasks for robust speech
processing. Speech enhancement suppresses background noise while speech separation …

Speech-driven 3D facial animation has been widely explored, with applications in gaming,
character animation, virtual reality, and telepresence systems. State-of-the-art methods …

Self-supervised learning (SSL) has achieved notable success in many speech processing
tasks, but the large model size and heavy computational cost hinder the deployment …

The RNN-Transducer (RNN-T) framework for speech recognition has been growing in
popularity, particularly for deployed real-time ASR systems, because it combines high …

Text-to-music generation models are now capable of generating high-quality music audio in
broad styles. However, text control is primarily suitable for the manipulation of global musical …

Remotely sensed geospatial data are critical for applications including precision agriculture,
urban planning, disaster monitoring and response, and climate change research, among …

With the widespread use of distributed machine learning (DML), many IT companies have
established networks dedicated to DML. Different communication architectures of DML have …