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Found 6 papers, 0 papers with code
Task-Agnostic Structured Pruning of Speech Representation Models
Self-supervised pre-trained models such as Wav2vec2, Hubert, and WavLM have been shown to significantly improve many speech tasks.
Multilingual Zero Resource Speech Recognition Base on Self-Supervise Pre-Trained Acoustic Models
Labeled audio data is insufficient to build satisfying speech recognition systems for most of the languages in the world.
Reformulating Speaker Diarization as Community Detection With Emphasis On Topological Structure
In this paper we propose to view clustering-based diarization as a community detection problem.
Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data
In this work, we present a GCN-based approach for semi-supervised learning.
BeamTransformer: Microphone Array-based Overlapping Speech Detection
We propose BeamTransformer, an efficient architecture to leverage beamformer's edge in spatial filtering and transformer's capability in context sequence modeling.
A Real-time Speaker Diarization System Based on Spatial Spectrum
In this paper we describe a speaker diarization system that enables localization and identification of all speakers present in a conversation or meeting.
