AI & Machine Learning in Mobile Researchers Unlock a Lightweight Method to Detect Code-Switching Directly from Speech in Multilingual Audio Collections November 2, 2026 Siti Muinah A team of researchers consisting of Jie Chi, Zakaria Aldeneh, Masha Fedzechkina, Maureen de Seyssel, and Natalie Schluter has introduced a novel, lightweight method designed to detect code-switching directly from…
Tech News & Gadgets Nvidia Expands Open-Weight AI Portfolio with Nemotron 3.5 Transcribe and Updated Granary Speech Dataset October 28, 2026 Ali Ikhwan Nvidia has announced the release of Nemotron 3.5 Transcribe, a new open-weight audio transcription model capable of processing speech across up to 40 languages. Available for free, the 30-billion-parameter model…
AI & Machine Learning in Mobile New Lightweight Method Detects Code-Switching Directly from Speech to Improve Multilingual AI Training October 25, 2026 Pevita Pearce A team of researchers consisting of Jie Chi, Zakaria Aldeneh, Masha Fedzechkina, Maureen de Seyssel, and Natalie Schluter has introduced a novel, lightweight method designed to detect code-switching directly from…
AI & Machine Learning in Mobile Researchers Introduce Lightweight Method to Detect Code-Switching Directly from Speech Encoders October 15, 2026 Layla Zulfa A team of researchers consisting of Jie Chi, Zakaria Aldeneh, Masha Fedzechkina, Maureen de Seyssel, and Natalie Schluter has proposed a novel, lightweight method to detect code-switching directly from speech…
AI & Machine Learning in Mobile New Lightweight Method Detects Code-Switching Directly from Speech to Improve Multilingual AI Training October 15, 2026 Lina Hope A team of researchers consisting of Jie Chi, Zakaria Aldeneh, Masha Fedzechkina, Maureen de Seyssel, and Natalie Schluter has introduced a novel, lightweight method designed to detect code-switching directly from…
AI & Machine Learning in Mobile Researchers Unlock Lightweight Method to Detect Code-Switching Directly from Speech in Multilingual Audio Collections October 14, 2026 Asro A new study authored by Jie Chi, Zakaria Aldeneh, Masha Fedzechkina, Maureen de Seyssel, and Natalie Schluter introduces an innovative, lightweight method for identifying code-switching directly from speech audio, bypassing…
AI & Machine Learning in Mobile Overcoming the Multilingual Gap: New Research Shows Language Discrimination Strengthens Self-Supervised Speech Models October 6, 2026 Siti Muinah By Staff Reporters In the evolving landscape of speech technology and artificial intelligence, self-supervised learning (SSL) has long held a dominant position. Models such as wav2vec 2.0 and HuBERT have…
AI & Machine Learning in Mobile Bridging the Multilingual Gap: New Research Reveals How Language Discrimination Enhances Self-Supervised Speech Models October 3, 2026 Neng Nana In the rapidly evolving field of artificial intelligence and speech technology, self-supervised learning (SSL) models have emerged as the cornerstone for understanding human speech. Architectures such as wav2vec 2.0 and…
AI & Machine Learning in Mobile New Research Breakthrough Narrows the Performance Gap in Semi-Supervised Federated Learning for Automatic Speech Recognition October 2, 2026 Sagoh A team of researchers comprising Wonho Bae, Zakaria Aldeneh, Martin Pelikan, Jan “Honza” Silovsky, Tatiana Likhomanenko, and Sheikh Shams Azam has unveiled a significant breakthrough in the field of Automatic…
AI & Machine Learning in Mobile Apple Researchers Detail Novel Distillation Method to Compress On-Device Speech Tokenizers for System-Wide Dictation September 25, 2026 Pevita Pearce Apple researchers have detailed a new approach to compressing speech tokenizers used in system-wide dictation features on Apple devices, aiming to reduce memory pressure and improve efficiency without significantly sacrificing…
