UB Paderborn / Katalog / Suche / in CDI

Power-Normalized Cepstral Coefficients (PNCC) for Robust Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2016-07, Vol.24 (7), p.1315-1329

2016

Volltextzugriff (PDF)

Power-Normalized Cepstral Coefficients (PNCC) for robust speech recognition

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.4101-4104

2012

Volltextzugriff (PDF)

Delta-spectral cepstral coefficients for robust speech recognition

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.4784-4787

2011

Volltextzugriff (PDF)

Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.4574-4577

2010

Volltextzugriff (PDF)

Hölder regularity of the Boltzmann equation in some non-convex domains

AIP Conference Proceedings, 2024, Vol.2996 (1)

2024

Volltextzugriff (PDF)

A Subband-Based Stationary-Component Suppression Method Using Harmonics and Power Ratio for Reverberant Speech Recognition

IEEE signal processing letters, 2016-06, Vol.23 (6), p.780-784

2016

Volltextzugriff (PDF)

Binaural sound source separation motivated by auditory processing

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.5072-5075

2011

Volltextzugriff (PDF)

Robust DTW-based recognition algorithm for hand-held consumer devices

IEEE transactions on consumer electronics, 2005-05, Vol.51 (2), p.699-709

2005

Volltextzugriff (PDF)

Two-microphone source separation algorithm based on statistical modeling of angle distributions

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.4629-4632

2012

Volltextzugriff (PDF)

Data Driven Grapheme-to-Phoneme Representations for a Lexicon-Free Text-to-Speech

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.11091-11095

2024

Volltextzugriff (PDF)

Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2017-05, Vol.25 (5), p.965-979

2017

Volltextzugriff (PDF)

Self-Supervised Accent Learning for Under-Resourced Accents Using Native Language Data

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

Volltextzugriff (PDF)

End-end Speech-to-Text Translation with Modality Agnostic Meta-Learning

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.7904-7908

2020

Volltextzugriff (PDF)

Streaming End-to-End Speech Recognition with Jointly Trained Neural Feature Enhancement

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.6773-6777

2021

Volltextzugriff (PDF)

Small Energy Masking for Improved Neural Network Training for End-To-End Speech Recognition

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.7684-7688

2020

Volltextzugriff (PDF)

A Review of On-Device Fully Neural End-to-End Automatic Speech Recognition Algorithms

2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020, p.277-283

2020

Volltextzugriff (PDF)

RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, p.5901-5910

2024

Volltextzugriff (PDF)

Transformer-based Unified Recognition of Two Hands Manipulating Objects

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.4769-4778

2023

Volltextzugriff (PDF)

AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.12707-12711

2024

Volltextzugriff (PDF)

Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.6800-6804

2024

Volltextzugriff (PDF)

Robust Recognition of Reverberant and Noisy Speech Using Coherence-based Processing

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.6775-6779

2019

Volltextzugriff (PDF)

Latent Filling: Latent Space Data Augmentation for Zero-Shot Speech Synthesis

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.11166-11170

2024

Volltextzugriff (PDF)

Mels-Tts : Multi-Emotion Multi-Lingual Multi-Speaker Text-To-Speech System Via Disentangled Style Tokens

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.12682-12686

2024

Volltextzugriff (PDF)

Counterfactual Two-Stage Debiasing For Video Corpus Moment Retrieval

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

Volltextzugriff (PDF)

Task Aware Multi-Task Learning for Speech to Text Tasks

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.7723-7727

2021

Volltextzugriff (PDF)

Menü

Weitere Dienste

Einstellungen

Power-Normalized Cepstral Coefficients (PNCC) for Robust Speech Recognition

Power-Normalized Cepstral Coefficients (PNCC) for robust speech recognition

Delta-spectral cepstral coefficients for robust speech recognition

Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring

Hölder regularity of the Boltzmann equation in some non-convex domains

A Subband-Based Stationary-Component Suppression Method Using Harmonics and Power Ratio for Reverberant Speech Recognition

Binaural sound source separation motivated by auditory processing

Robust DTW-based recognition algorithm for hand-held consumer devices

Two-microphone source separation algorithm based on statistical modeling of angle distributions

Data Driven Grapheme-to-Phoneme Representations for a Lexicon-Free Text-to-Speech

Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition

Self-Supervised Accent Learning for Under-Resourced Accents Using Native Language Data

End-end Speech-to-Text Translation with Modality Agnostic Meta-Learning

Streaming End-to-End Speech Recognition with Jointly Trained Neural Feature Enhancement

Small Energy Masking for Improved Neural Network Training for End-To-End Speech Recognition

A Review of On-Device Fully Neural End-to-End Automatic Speech Recognition Algorithms

RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video

Transformer-based Unified Recognition of Two Hands Manipulating Objects

AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition

Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy

Robust Recognition of Reverberant and Noisy Speech Using Coherence-based Processing

Latent Filling: Latent Space Data Augmentation for Zero-Shot Speech Synthesis

Mels-Tts : Multi-Emotion Multi-Lingual Multi-Speaker Text-To-Speech System Via Disentangled Style Tokens

Counterfactual Two-Stage Debiasing For Video Corpus Moment Retrieval

Task Aware Multi-Task Learning for Speech to Text Tasks

Aktive Filter

Suchergebnisse filtern