115 citations · 383 across the 11 of their papers we have counts for
6 papers · 1 filter
Speaker detection in the wild: Lessons learned from JSALT 2019
Paola Garcia, Jesus Villalba, Herve Bredin +21
This paper presents the problems and solutions addressed at the JSALT workshop when using a single microphone for speaker detection in adverse scenarios. The main focus was to tack…
The Speed Submission to DIHARD II: Contributions & Lessons Learned
Md Sahidullah, Jose Patino, Samuele Cornell +11
This paper describes the speaker diarization systems developed for the Second DIHARD Speech Diarization Challenge (DIHARD II) by the Speed team. Besides describing the system, whic…
pyannote.audio: neural building blocks for speaker diarization
Hervé Bredin, Ruiqing Yin, Juan Manuel Coria +7
We introduce pyannote.audio, an open-source toolkit written in Python for speaker diarization. Based on PyTorch machine learning framework, it provides a set of trainable end-to-en…
Overlap-aware diarization: resegmentation using neural end-to-end overlapped speech detection
Latané Bullock, Hervé Bredin, Leibny Paola Garcia-Perera
We address the problem of effectively handling overlapping speech in a diarization system. First, we detail a neural Long Short-Term Memory-based architecture for overlap detection…
End-to-end Domain-Adversarial Voice Activity Detection
Marvin Lavechin, Marie-Philippe Gill, Ruben Bousbib +2
Voice activity detection is the task of detecting speech regions in a given audio stream or recording. First, we design a neural network combining trainable filters and recurrent l…
LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization
Qingjian Lin, Ruiqing Yin, Ming Li +2
More and more neural network approaches have achieved considerable improvement upon submodules of speaker diarization system, including speaker change detection and segment-wise sp…