NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription

no code implementations • 16 Jan 2024 • Alon Vinnikov, Amir Ivry, Aviv Hurvitz, Igor Abramovski, Sharon Koubi, Ilya Gurvich, Shai Pe`er, Xiong Xiao, Benjamin Martinez Elizalde, Naoyuki Kanda, Xiaofei Wang, Shalev Shaer, Stav Yagev, Yossi Asher, Sunit Sivasankaran, Yifan Gong, Min Tang, Huaming Wang, Eyal Krupka

The challenge focuses on distant speaker diarization and automatic speech recognition (DASR) in far-field meeting scenarios, with single-channel and known-geometry multi-channel tracks, and serves as a launch platform for two new datasets: First, a benchmarking dataset of 315 meetings, averaging 6 minutes each, capturing a broad spectrum of real-world acoustic conditions and conversational dynamics.

Automatic Speech Recognition Benchmarking +4

A Real-Time Active Speaker Detection System Integrating an Audio-Visual Signal with a Spatial Querying Mechanism

no code implementations • 15 Sep 2023 • Ilya Gurvich, Ido Leichter, Dharmendar Reddy Palle, Yossi Asher, Alon Vinnikov, Igor Abramovski, Vishak Gopal, Ross Cutler, Eyal Krupka

We introduce a distinctive real-time, causal, neural network-based active speaker detection system optimized for low-power edge computing.

Edge-computing

Advances in Online Audio-Visual Meeting Transcription

no code implementations • 10 Dec 2019 • Takuya Yoshioka, Igor Abramovski, Cem Aksoylar, Zhuo Chen, Moshe David, Dimitrios Dimitriadis, Yifan Gong, Ilya Gurvich, Xuedong Huang, Yan Huang, Aviv Hurvitz, Li Jiang, Sharon Koubi, Eyal Krupka, Ido Leichter, Changliang Liu, Partha Parthasarathy, Alon Vinnikov, Lingfeng Wu, Xiong Xiao, Wayne Xiong, Huaming Wang, Zhenghao Wang, Jun Zhang, Yong Zhao, Tianyan Zhou

This increases marginally to 1. 6% when 50% of the attendees are unknown to the system.

speaker-diarization Speaker Diarization +2

Convolutional Tables Ensemble: classification in microseconds

no code implementations • 14 Feb 2016 • Aharon Bar-Hillel, Eyal Krupka, Noam Bloom

We study classifiers operating under severe classification time constraints, corresponding to 1-1000 CPU microseconds, using Convolutional Tables Ensemble (CTE), an inherently fast architecture for object category recognition.

Classification General Classification +2

Discriminative Ferns Ensemble for Hand Pose Recognition

no code implementations • CVPR 2014 • Eyal Krupka, Alon Vinnikov, Ben Klein, Aharon Bar Hillel, Daniel Freedman, Simon Stachniak

The classifier architecture is designed to optimize both classification speed and accuracy when a large training set is available.

Classification General Classification +1

SRA: Fast Removal of General Multipath for ToF Sensors

no code implementations • 24 Mar 2014 • Daniel Freedman, Eyal Krupka, Yoni Smolin, Ido Leichter, Mirko Schmidt

A major issue with Time of Flight sensors is the presence of multipath interference.

Dimensionality Reduction