FFASR Leaderboard Launch Event - Treble x Hugging Face, featuring IBM, Nvidia, Cohere and CMU

Standard ASR benchmarks often miss the conditions that matter most in real-world use: background noise, competing speech, reverberation, distance from the microphone, and other acoustic effects. The Far-Field ASR Leaderboard, built by Treble and Hugging Face, gives developers and users of ASR engines a more realistic way to evaluate model performance in the environments where speech technology is actually deployed. Alongside the launch of FFASR, hear from leading voices in speech AI. Dr. George Saon at IBM will share perspectives on the challenges of far-field speech recognition and the importance of robust evaluation in noisy environments. Nithin Rao Koluguri, Senior Research Scientist at NVIDIA, will present NVIDIA’s work in ASR, discuss far-field robustness, and explore the Parakeet family of ASR models. Julian Mack from Cohere will present Cohere’s work in speech modeling, including Cohere Transcribe, and discuss the challenges of evaluating ASR systems in real-world conditions. Dr. Shinji Watanabe, Professor at Carnegie Mellon University will also share insights from his research in speech and audio processing. Go to the FFASR Leaderboard: https://huggingface.co/spaces/treble-... You can also follow us on social media: LinkedIn:   / treble-technologies   Facebook:   / trebletechnologies   Instagram:   / trebletechnologies