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Found 7 papers, 1 papers with code
Monaural source separation: From anechoic to reverberant environments
Impressive progress in neural network-based single-channel speech source separation has been made in recent years.
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network
We propose a system that transcribes the conversation of a typical meeting scenario that is captured by a set of initially unsynchronized microphone arrays at unknown positions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator
Training and evaluation of these single tasks requires synthetic data with access to intermediate signals that is as close as possible to the evaluation scenario.
A Teacher-Student approach for extracting informative speaker embeddings from speech mixtures
We introduce a monaural neural speaker embeddings extractor that computes an embedding for each speaker present in a speech mixture.
Frame-wise and overlap-robust speaker embeddings for meeting diarization
Using a Teacher-Student training approach we developed a speaker embedding extraction system that outputs embeddings at frame rate.
Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization
We propose a modular pipeline for the single-channel separation, recognition, and diarization of meeting-style recordings and evaluate it on the Libri-CSS dataset.
Geodesic interpolation of frame-wise speaker embeddings for the diarization of meeting scenarios
We propose a modified teacher-student training for the extraction of frame-wise speaker embeddings that allows for an effective diarization of meeting scenarios containing partially overlapping speech.
