36 citations · 149 across the 21 of their papers we have counts for
6 papers · 1 filter
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian +2
Emulating the human ability to solve the cocktail party problem, i.e., focus on a source of interest in a complex acoustic scene, is a long standing goal of audio source separation…
Hyperbolic Audio Source Separation
Darius Petermann, Gordon Wichern, Aswin Subramanian +1
We introduce a framework for audio source separation using embeddings on a hyperbolic manifold that compactly represent the hierarchical relationship between sound sources and time…
Reverberation as Supervision for Speech Separation
Rohith Aralikatti, Christoph Boeddeker, Gordon Wichern +2
This paper proposes reverberation as supervision (RAS), a novel unsupervised loss function for single-channel reverberant speech separation. Prior methods for unsupervised separati…
Late Audio-Visual Fusion for In-The-Wild Speaker Diarization
Zexu Pan, Gordon Wichern, François G. Germain +2
Speaker diarization is well studied for constrained audios but little explored for challenging in-the-wild videos, which have more speakers, shorter utterances, and inconsistent on…
SANE-TTS: Stable And Natural End-to-End Multilingual Text-to-Speech
Hyunjae Cho, Wonbin Jung, Junhyeok Lee +1
In this paper, we present SANE-TTS, a stable and natural end-to-end multilingual TTS model. By the difficulty of obtaining multilingual corpus for given speaker, training multiling…
Heterogeneous Target Speech Separation
Efthymios Tzinis, Gordon Wichern, Aswin Subramanian +2
We introduce a new paradigm for single-channel target source separation where the sources of interest can be distinguished using non-mutually exclusive concepts (e.g., loudness, ge…