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May 12, 2022

Wie künstliche Intelligenz Vertriebsprozesse optimiert

Das junge Unternehmen Recoro wird durch das Bundesministerium für Wirtschaft und Klimaschutz mit einem EXIST-Stipendium gefördert. Es ist aus einem Forschungsprojekt an der Universität Augsburg entstanden und wird von ihr sowohl wissenschaftlich als auch bei der Unternehmensgründung beraten. Rocoro nutzt künstliche Intelligenz, um Vertriebsprozesse zu optimieren.

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Die Recoro-Gründer: Mykyta Denysov, Julian Speckmaier und Lukas Stappen
March 20, 2022

Maximilian Schmitt defends his PhD Thesis

On the 18th of March 2022, our former colleague Max Schmitt successfully defended his doctoral thesis ‘Bag-of-Words Representations for Computer Audition’. The examiners were Prof. Dr.-Ing. habil. Björn Schuller (Max’s supervisor), Prof. Dr. Elisabeth André (Universität Augsburg), Prof. Dr. Frank Kramer (Universität Augsburg) and Prof. Dr.-Ing. Dorothea Kolossa (Ruhr-Universität Bochum). Congratulations, Max!

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Dr. Maximilian Schmitt
Feb. 23, 2022

PhD Defence: Congratulations, Zhao Ren!

Our former colleague Zhao Ren successfully defended her PhD thesis „Deep Learning Techniques for Computer Audition“ on the 22nd of February. The examiners were Zhao’s supervisor Prof. Dr.-Ing. habil. Björn Schuller, Prof. Dr. Elisabeth André and Prof. Dr. Frank Kramer (both University of Augsburg) as well as Prof. Dr.-Ing. habil. Andreas Maier (FAU Erlangen). Congratulations!

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Dr. Zhao Ren
Dec. 3, 2021

PhD for Vedhas Pandit

Congratulations to former EIHW researcher Vedhas Pandit on the successful defence of his doctoral thesis! Vedhas defended his PhD, ‚Time- and Value-continuous Explainable Affect Estimation In-the-wild‘ on the 23th November. The examiners were Prof. Dr.-Ing. habil. Björn Schuller — Vedhas’ supervisor, Prof. Dr. Elisabeth André (University of Augsburg) and Prof. Dr. Rainer Lienhart (University of Augsburg).

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Dr. Vedhas Pandit
April 23, 2021

Job Opportunity for Students at EIHW

The chair for Embedded Intelligence in Healthcare and Wellbeing is looking for two students to support our research.

 

Topic: emotion recognition from facial and physiological information.

 

Qualification: skills in Machine Learning and Data Analysis

 

Workload: 40h/month (no degree yet) bzw. 36h/Monat (bachelor degree)

 

Duration: June 1 2021 to Dec 31 2021 

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student work
April 15, 2021

EIHW at NDR "Visite"

German public TV broadcaster NDR featured the chair EIHW in the health magazine „Visite“.

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Prof. Schuller in "Visite"
April 13, 2021

Prof. Dr. Björn Schuller on P.M. Wissen

Prof. Schuller was featured on ,,P.M. Wissen" by Austrian TV station ServusTV.

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Feb. 17, 2021

Klanglandschaften mit künstlicher Intelligenz entschlüsseln

Die Sprachanalyse spielt bereits im heutigen Leben eine Rolle: Sprache kann aufgenommen, verarbeitet und übersetzt werden. SprachApps, die Erkrankungen anhand von Stimme und Sprache analysieren können, sind bereits in der Entwicklung. Nun geht das Team um Prof. Dr. Björn Schuller den nächsten Schritt: Mit dem im Januar 2021 gestarteten Projekt „ADI0NOMOUS“ erforschen sie Klang insgesamt.

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schuller
Feb. 8, 2021

EIHW on "Zeit zu Reden"

In January, Professor Schuller was interviewed on the Augsburg a.tv program “Zeit zu reden”, on which he spoke about the chair’s Corona-App.

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atv Auftritt
Nov. 18, 2020

Corona-Erkennung mittels App – Ihre Stimme zählt!

Sie interessieren sich für eine Teilnahme an unserer Studie?

 

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COVID App screenshot
Nov. 9, 2020

Can Corona be detected by a speech analysis app?

Can a COVID-19 infection be detected based on your voice and sounds? This is what the speech and audio analysis app developed by Prof. Dr. Björn W. Schuller, Professor of Artificial Intelligence and Digital Health is developed for. It estimates the probability of being infected with the corona virus based on prolonged vowels or a text that has been read aloud or free speech. First results are highly promising, but the app is still being improved and tested, in particular by collecting more data.

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Image section of the voice analysis app which detects diseases
Sept. 30, 2020

Job advertisement: intern or master's student (m / f / d)

Job advertisement from Huawei


Follow the link for more information:
https://apply.workable.com/huawei-16/j/CC683BC0AD/

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