Machine Learning for Stuttering Detection and Classification in Stuttering Therapy

to connected objects

Alternative title: Maschinelles Lernen zur Detektion und Klassifikaton von Stottern in der Stottertherapie

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Dissertation, 2024

Keyword: Stottern
Maschinelles Lernen
Sprachverarbeitung
Therapie

Event: Veröffentlichung

(where): Erlangen

(who): Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

(when): 2024

Creator: Bayerl, Sebastian P.

Contributor: Nöth, Elmar
Riedhammer, Korbinian
Sommer, Martin

DOI: 10.25593/open-fau-759

URN: urn:nbn:de:101:1-2406140503162.772324801913

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:43 PM CET

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Bayerl, Sebastian P.
Nöth, Elmar
Riedhammer, Korbinian
Sommer, Martin
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Time of origin

2024

Other Objects (12)

Hochschulschrift

Efficient and Trainable Detection and Classification of Radio Signals

Hochschulschrift

Detection of Sleep related Breathing Disorders and Sleep Stages from the Evaluation of ECG Signals : = Erkennung von schlafbezogenen Atmungsstörungen und Schlafstadien anhand der Auswertung von EKG-Signalen

Prosody and automatic speech recognition: why not yet a Success Story and where to go from here

Does it groove or does it stumble: automatic classification of alcoholic intoxication using prosodic features

Classification of boundaries and accents in spontaneous speech

Fast recursive data-driven multi-resolution feature extraction for physiological signal classification

Detection of phrase boundaries and accents

Classification of user states with physiological signals: on-line generic features vs. specialized feature sets

Combining semantic word classes and sub-word unit speech recognition for robust OOV detection

Deep Learning Applied to Animal Linguistics

Using Contextual Information to Process Out-of-Vocabulary Words in Spoken Dialog Systems

Word recognition with integrated detection of phrase boundaries

Hochschulschrift

Efficient and Trainable Detection and Classification of Radio Signals

Hochschulschrift

Detection of Sleep related Breathing Disorders and Sleep Stages from the Evaluation of ECG Signals : = Erkennung von schlafbezogenen Atmungsstörungen und Schlafstadien anhand der Auswertung von EKG-Signalen

Prosody and automatic speech recognition: why not yet a Success Story and where to go from here

Does it groove or does it stumble: automatic classification of alcoholic intoxication using prosodic features

Classification of boundaries and accents in spontaneous speech

Fast recursive data-driven multi-resolution feature extraction for physiological signal classification

Detection of phrase boundaries and accents

Classification of user states with physiological signals: on-line generic features vs. specialized feature sets

Combining semantic word classes and sub-word unit speech recognition for robust OOV detection

Deep Learning Applied to Animal Linguistics

Using Contextual Information to Process Out-of-Vocabulary Words in Spoken Dialog Systems

Word recognition with integrated detection of phrase boundaries

Hochschulschrift

Efficient and Trainable Detection and Classification of Radio Signals

Hochschulschrift

Detection of Sleep related Breathing Disorders and Sleep Stages from the Evaluation of ECG Signals : = Erkennung von schlafbezogenen Atmungsstörungen und Schlafstadien anhand der Auswertung von EKG-Signalen

Prosody and automatic speech recognition: why not yet a Success Story and where to go from here

Does it groove or does it stumble: automatic classification of alcoholic intoxication using prosodic features

Classification of boundaries and accents in spontaneous speech

Fast recursive data-driven multi-resolution feature extraction for physiological signal classification

Detection of phrase boundaries and accents

Classification of user states with physiological signals: on-line generic features vs. specialized feature sets

Combining semantic word classes and sub-word unit speech recognition for robust OOV detection

Deep Learning Applied to Animal Linguistics

Using Contextual Information to Process Out-of-Vocabulary Words in Spoken Dialog Systems

Word recognition with integrated detection of phrase boundaries

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Machine Learning for Stuttering Detection and Classification in Stuttering Therapy

Object Details

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

Efficient and Trainable Detection and Classification of Radio Signals

Detection of Sleep related Breathing Disorders and Sleep Stages from the Evaluation of ECG Signals : = Erkennung von schlafbezogenen Atmungsstörungen und Schlafstadien anhand der Auswertung von EKG-Signalen

Prosody and automatic speech recognition: why not yet a Success Story and where to go from here

Does it groove or does it stumble: automatic classification of alcoholic intoxication using prosodic features

Classification of boundaries and accents in spontaneous speech

Fast recursive data-driven multi-resolution feature extraction for physiological signal classification

Detection of phrase boundaries and accents

Classification of user states with physiological signals: on-line generic features vs. specialized feature sets

Combining semantic word classes and sub-word unit speech recognition for robust OOV detection

Deep Learning Applied to Animal Linguistics

Using Contextual Information to Process Out-of-Vocabulary Words in Spoken Dialog Systems

Word recognition with integrated detection of phrase boundaries

Efficient and Trainable Detection and Classification of Radio Signals

Detection of Sleep related Breathing Disorders and Sleep Stages from the Evaluation of ECG Signals : = Erkennung von schlafbezogenen Atmungsstörungen und Schlafstadien anhand der Auswertung von EKG-Signalen

Prosody and automatic speech recognition: why not yet a Success Story and where to go from here

Does it groove or does it stumble: automatic classification of alcoholic intoxication using prosodic features

Classification of boundaries and accents in spontaneous speech

Fast recursive data-driven multi-resolution feature extraction for physiological signal classification

Detection of phrase boundaries and accents

Classification of user states with physiological signals: on-line generic features vs. specialized feature sets

Combining semantic word classes and sub-word unit speech recognition for robust OOV detection

Deep Learning Applied to Animal Linguistics

Using Contextual Information to Process Out-of-Vocabulary Words in Spoken Dialog Systems

Word recognition with integrated detection of phrase boundaries

Efficient and Trainable Detection and Classification of Radio Signals

Detection of Sleep related Breathing Disorders and Sleep Stages from the Evaluation of ECG Signals : = Erkennung von schlafbezogenen Atmungsstörungen und Schlafstadien anhand der Auswertung von EKG-Signalen

Prosody and automatic speech recognition: why not yet a Success Story and where to go from here

Does it groove or does it stumble: automatic classification of alcoholic intoxication using prosodic features

Classification of boundaries and accents in spontaneous speech

Fast recursive data-driven multi-resolution feature extraction for physiological signal classification

Detection of phrase boundaries and accents

Classification of user states with physiological signals: on-line generic features vs. specialized feature sets

Combining semantic word classes and sub-word unit speech recognition for robust OOV detection

Deep Learning Applied to Animal Linguistics

Using Contextual Information to Process Out-of-Vocabulary Words in Spoken Dialog Systems

Word recognition with integrated detection of phrase boundaries

Related objects

Reset password