Search Results for author: Nik Vaessen

Found 5 papers, 4 papers with code

The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning

1 code implementation21 Feb 2024 Nik Vaessen, David A. van Leeuwen

We then show that the quality of the pre-trained model depends mainly on the amount of speech data seen during training, i. e., on the product of batch size and number of iterations.

Benchmarking Representation Learning +1

Beyond Neural-on-Neural Approaches to Speaker Gender Protection

1 code implementation30 Jun 2023 Loes Van Bemmel, Zhuoran Liu, Nik Vaessen, Martha Larson

Currently, the common practice for developing and testing gender protection algorithms is "neural-on-neural", i. e., perturbations are generated and tested with a neural network.


Speaker and Language Change Detection using Wav2vec2 and Whisper

no code implementations18 Feb 2023 Tijn Berns, Nik Vaessen, David A. van Leeuwen

We investigate recent transformer networks pre-trained for automatic speech recognition for their ability to detect speaker and language changes in speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Training speaker recognition systems with limited data

1 code implementation28 Mar 2022 Nik Vaessen, David A. van Leeuwen

These subsets are restricted to 50\, k audio files (versus over 1\, M files available), and vary on the axis of number of speakers and session variability.

Speaker Recognition

Fine-tuning wav2vec2 for speaker recognition

1 code implementation30 Sep 2021 Nik Vaessen, David A. van Leeuwen

This paper explores applying the wav2vec2 framework to speaker recognition instead of speech recognition.

Classification Speaker Recognition +1

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