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Found 7 papers, 3 papers with code
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization
End-to-end diarization presents an attractive alternative to standard cascaded diarization systems because a single system can handle all aspects of the task at once.
From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization
However, simulated mixtures do not resemble real conversations in many aspects.
Speaker adaptation for Wav2vec2 based dysarthric ASR
Speaker adaptation using fMLLR and xvectors have provided major gains for dysarthric speech with very little adaptation data.
BUT System Description for DIHARD Speech Diarization Challenge 2019
This paper describes the systems developed by the BUT team for the four tracks of the second DIHARD speech diarization challenge.
GTTS-EHU Systems for QUESST at MediaEval 2014
This paper briefly describes the systems presented by the Software Technologies Working Group (http://gtts. ehu. es, GTTS) of the University of the Basque Country (UPV/EHU) to the Query-by-Example Search on Speech Task (QUESST) at MediaEval 2014.
Ranked #4 on
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on QUESST
KALAKA-3: a database for the recognition of spoken European languages on YouTube audios
This paper describes the main features of KALAKA-3, a speech database specifically designed for the development and evaluation of language recognition systems.
KALAKA-2: a TV Broadcast Speech Database for the Recognition of Iberian Languages in Clean and Noisy Environments
This paper presents the main features (design issues, recording setup, etc.)
