Search Results for author: Jakob D. Havtorn

Found 6 papers, 3 papers with code

Self-Supervised Speech Representation Learning: A Review

no code implementations21 May 2022 Abdelrahman Mohamed, Hung-Yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe

Although self-supervised speech representation is still a nascent research area, it is closely related to acoustic word embedding and learning with zero lexical resources, both of which have seen active research for many years.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Model-agnostic out-of-distribution detection using combined statistical tests

no code implementations2 Mar 2022 Federico Bergamin, Pierre-Alexandre Mattei, Jakob D. Havtorn, Hugo Senetaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen

These techniques, based on classical statistical tests, are model-agnostic in the sense that they can be applied to any differentiable generative model.

Out-of-Distribution Detection

Benchmarking Generative Latent Variable Models for Speech

1 code implementation22 Feb 2022 Jakob D. Havtorn, Lasse Borgholt, Søren Hauberg, Jes Frellsen, Lars Maaløe

Stochastic latent variable models (LVMs) achieve state-of-the-art performance on natural image generation but are still inferior to deterministic models on speech.

Benchmarking Image Generation +1

MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech

no code implementations ACL 2020 Jakob D. Havtorn, Jan Latko, Joakim Edin, Lasse Borgholt, Lars Maaløe, Lorenzo Belgrano, Nicolai F. Jacobsen, Regitze Sdun, Željko Agić

We address a challenging and practical task of labeling questions in speech in real time during telephone calls to emergency medical services in English, which embeds within a broader decision support system for emergency call-takers.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

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