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HMMGradients.jl
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published
Jan 28, 2021
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last modified
Jan 29, 2021 08:49 AM
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Speech Processing
A first step towards a Julia-based speech recognition toolkit.
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HAAWAII H2020 EC project
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published
Feb 08, 2021
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filed under:
Speech Processing
Highly Automated Air Traffic Controller Workstations with Artificial Intelligence Integration
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Estimating Breathing Pattern and Parameters from Speech Waveform
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published
Mar 01, 2021
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last modified
Mar 25, 2021 05:19 PM
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filed under:
Speech Processing
Alternation in respiratory system and speech production system results in changes in speech. Therefore, speech signal, which can be acquired in a non-invasive ...
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3rd ROXANNE Project Newsletter is Online
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published
Mar 02, 2021
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filed under:
Speech Processing
3rd ROXANNE Newsletter
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PARIDA Shantipriy invited speaker at the Indo-German SPARC Symposium
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published
Mar 10, 2021
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last modified
Mar 10, 2021 02:49 PM
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filed under:
Speech Processing
PARIDA Shantipriya, Idiap Postdoctoral Researcher has been granted to be an invited speaker at the Indo-German SPARC Symposium.
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What is the relation between the language and our mental health?
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published
Mar 29, 2021
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filed under:
Speech Processing
“To understand others implies no only to get their point, but also to understand their feelings and emotions”; Daniel Goleman, Emotional Intelligence.
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Idiap at ICASSP 2021
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published
Apr 21, 2021
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filed under:
Speech Processing
Idiap's speech group will be presenting six papers at ICASSP 2021. Our papers address a variety of research problems in pathological and physiological speech ...
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Learning to transcribe Swiss German dialects
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published
Apr 21, 2021
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filed under:
Speech Processing
Improving Swiss German speech recognition for Swisscom TV Box Voice Assistant
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Adjustable Deterministic Pseudonymization of Speech
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published
Apr 21, 2021
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filed under:
Speech Processing
Obfuscating Voice Identity
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How to adapt your pretrained models for ASR?
by admin
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published
Jul 07, 2021
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last modified
Jul 07, 2021 03:28 PM
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filed under:
Speech Processing
Understanding the impact of self-supervised pretraining approaches on low resource speech recognition.
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