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Found 11 papers, 6 papers with code
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.)
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.
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
Keyword Spotting
on QUESST
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.
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.
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.
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.
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization
Combining end-to-end neural speaker diarization (EEND) with vector clustering (VC), known as EEND-VC, has gained interest for leveraging the strengths of both methods.
DiaCorrect: Error Correction Back-end For Speaker Diarization
In this work, we propose an error correction framework, named DiaCorrect, to refine the output of a diarization system in a simple yet effective way.
Discriminative Training of VBx Diarization
Bayesian HMM clustering of x-vector sequences (VBx) has become a widely adopted diarization baseline model in publications and challenges.
DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors
Until recently, the field of speaker diarization was dominated by cascaded systems.
