Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association, Brisbane, Australia, September 22-26, 2008, S. 1789-1792

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2008

Event: Veröffentlichung

(who): ISCA Archive

(when): 2008

Creator: Schuller, Björn
Wöllmer, Martin
Moosmayr, Tobias
Rigoll, Gerhard

DOI: 10.21437/Interspeech.2008-492

URN: urn:nbn:de:bvb:384-opus4-767076

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:27 AM CEST

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

Schuller, Björn
Wöllmer, Martin
Moosmayr, Tobias
Rigoll, Gerhard
Universität Augsburg
ISCA Archive

Time of origin

2008

Other Objects (12)

Switching linear dynamic models for noise robust in-car speech recognition

Robust spelling and digit recognition in the car: switching models and their like

Hochschulschrift

Context-sensitive machine learning for intelligent human behavior analysis

Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise

Switching linear dynamic models for recognition of emotionally colored and noisy speech

Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening

Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework

Prosodic, spectral or voice quality? Feature type relevance for the discrimination of emotion pairs

Improving keyword spotting with a tandem BLSTM-DBN architecture

Non-negative matrix factorization as noise-robust feature extractor for speech recognition

Hochschulschrift

Maschinelle Spracherkennung zur Verbesserung der Mensch-Maschine-Schnittstelle

Neuronale Netze : eine Einführung für Ingenieure, Informatiker und Naturwissenschaftler

Switching linear dynamic models for noise robust in-car speech recognition

Robust spelling and digit recognition in the car: switching models and their like

Hochschulschrift

Context-sensitive machine learning for intelligent human behavior analysis

Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise

Switching linear dynamic models for recognition of emotionally colored and noisy speech

Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening

Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework

Prosodic, spectral or voice quality? Feature type relevance for the discrimination of emotion pairs

Improving keyword spotting with a tandem BLSTM-DBN architecture

Non-negative matrix factorization as noise-robust feature extractor for speech recognition

Hochschulschrift

Maschinelle Spracherkennung zur Verbesserung der Mensch-Maschine-Schnittstelle

Neuronale Netze : eine Einführung für Ingenieure, Informatiker und Naturwissenschaftler

Switching linear dynamic models for noise robust in-car speech recognition

Robust spelling and digit recognition in the car: switching models and their like

Hochschulschrift

Context-sensitive machine learning for intelligent human behavior analysis

Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise

Switching linear dynamic models for recognition of emotionally colored and noisy speech

Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening

Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework

Prosodic, spectral or voice quality? Feature type relevance for the discrimination of emotion pairs

Improving keyword spotting with a tandem BLSTM-DBN architecture

Non-negative matrix factorization as noise-robust feature extractor for speech recognition

Hochschulschrift

Maschinelle Spracherkennung zur Verbesserung der Mensch-Maschine-Schnittstelle

Neuronale Netze : eine Einführung für Ingenieure, Informatiker und Naturwissenschaftler

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.

Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement

Object Details

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

Switching linear dynamic models for noise robust in-car speech recognition

Robust spelling and digit recognition in the car: switching models and their like

Context-sensitive machine learning for intelligent human behavior analysis

Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise

Switching linear dynamic models for recognition of emotionally colored and noisy speech

Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening

Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework

Prosodic, spectral or voice quality? Feature type relevance for the discrimination of emotion pairs

Improving keyword spotting with a tandem BLSTM-DBN architecture

Non-negative matrix factorization as noise-robust feature extractor for speech recognition

Maschinelle Spracherkennung zur Verbesserung der Mensch-Maschine-Schnittstelle

Neuronale Netze : eine Einführung für Ingenieure, Informatiker und Naturwissenschaftler

Switching linear dynamic models for noise robust in-car speech recognition

Robust spelling and digit recognition in the car: switching models and their like

Context-sensitive machine learning for intelligent human behavior analysis

Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise

Switching linear dynamic models for recognition of emotionally colored and noisy speech

Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening

Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework

Prosodic, spectral or voice quality? Feature type relevance for the discrimination of emotion pairs

Improving keyword spotting with a tandem BLSTM-DBN architecture

Non-negative matrix factorization as noise-robust feature extractor for speech recognition

Maschinelle Spracherkennung zur Verbesserung der Mensch-Maschine-Schnittstelle

Neuronale Netze : eine Einführung für Ingenieure, Informatiker und Naturwissenschaftler

Switching linear dynamic models for noise robust in-car speech recognition

Robust spelling and digit recognition in the car: switching models and their like

Context-sensitive machine learning for intelligent human behavior analysis

Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise

Switching linear dynamic models for recognition of emotionally colored and noisy speech

Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening

Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework

Prosodic, spectral or voice quality? Feature type relevance for the discrimination of emotion pairs

Improving keyword spotting with a tandem BLSTM-DBN architecture

Non-negative matrix factorization as noise-robust feature extractor for speech recognition

Maschinelle Spracherkennung zur Verbesserung der Mensch-Maschine-Schnittstelle

Neuronale Netze : eine Einführung für Ingenieure, Informatiker und Naturwissenschaftler

Related objects

Reset password