activity
20142025
most citedDeep Unfolding: Model-Based Inspiration of Novel Deep Architectures

255 citations · 1.2k across the 38 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

eess.AS2020★ 6 cited

Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording

Cong Han, Yi Luo, Chenda Li +8

Leveraging additional speaker information to facilitate speech separation has received increasing attention in recent years. Recent research includes extracting target speech by us…

eess.AS2020

Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis

Desh Raj, Pavel Denisov, Zhuo Chen +11

Multi-speaker speech recognition of unsegmented recordings has diverse applications such as meeting transcription and automatic subtitle generation. With technical advances in syst…

cs.SD2020

What's All the FUSS About Free Universal Sound Separation Data?

Scott Wisdom, Hakan Erdogan, Daniel Ellis +6

We introduce the Free Universal Sound Separation (FUSS) dataset, a new corpus for experiments in separating mixtures of an unknown number of sounds from an open domain of sound typ…

cs.SD2020★ 30 cited

Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes

Nicolas Turpault, Romain Serizel, Scott Wisdom +5

We propose a benchmark of state-of-the-art sound event detection systems (SED). We designed synthetic evaluation sets to focus on specific sound event detection challenges. We anal…

cs.SD2020★ 36 cited

Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds

Efthymios Tzinis, Scott Wisdom, Aren Jansen +4

Recent progress in deep learning has enabled many advances in sound separation and visual scene understanding. However, extracting sound sources which are apparent in natural video…

cs.SD2020★ 7 cited

Improving Sound Event Detection In Domestic Environments Using Sound Separation

Nicolas Turpault, Scott Wisdom, Hakan Erdogan +5

Performing sound event detection on real-world recordings often implies dealing with overlapping target sound events and non-target sounds, also referred to as interference or nois…