Cover Image

Robustifying automatic speech recognition by extracting slowly varying features

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pizarro, Matías, Kolossa, Dorothea, Fischer, Asja
Format:	Preprint
Published:	2021
Subjects:	Audio and Speech Processing Machine Learning Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution
by: Pizarro, Matías, et al.
Published: (2023)

Comparative Study on Noise-Augmented Training and its Effect on Adversarial Robustness in ASR Systems
by: Pizzi, Karla, et al.
Published: (2024)

Lightweight Model Attribution and Detection of Synthetic Speech via Audio Residual Fingerprints
by: Pizarro, Matías, et al.
Published: (2024)

Zipformer: A faster and better encoder for automatic speech recognition
by: Yao, Zengwei, et al.
Published: (2023)

Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks
by: Pizarro, Matías, et al.
Published: (2026)

SeMaScore : a new evaluation metric for automatic speech recognition tasks
by: Sasindran, Zitha, et al.
Published: (2024)

Fusion approaches for emotion recognition from speech using acoustic and text-based features
by: Pepino, Leonardo, et al.
Published: (2024)

CR-CTC: Consistency regularization on CTC for improved speech recognition
by: Yao, Zengwei, et al.
Published: (2024)

Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks
by: Maiti, Soumi, et al.
Published: (2023)

Late fusion ensembles for speech recognition on diverse input audio representations
by: Jezidžić, Marin, et al.
Published: (2024)

Introduction to speech recognition
by: Dauphin, Gabriel
Published: (2024)

Advancing automatic speech recognition using feature fusion with self-supervised learning features: A case study on Fearless Steps Apollo corpus
by: Chen, Szu-Jui, et al.
Published: (2026)

An Attention Long Short-Term Memory based system for automatic classification of speech intelligibility
by: Fernández-Díaz, Miguel, et al.
Published: (2024)

CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speech
by: Pahar, Madhurananda, et al.
Published: (2025)

Dementia classification from spontaneous speech using wrapper-based feature selection
by: Niemelä, Marko, et al.
Published: (2025)

A vector quantized masked autoencoder for audiovisual speech emotion recognition
by: Sadok, Samir, et al.
Published: (2023)

Thinking in cocktail party: Chain-of-Thought and reinforcement learning for target speaker automatic speech recognition
by: Zhang, Yiru, et al.
Published: (2025)

Throat and acoustic paired speech dataset for deep learning-based speech enhancement
by: Kim, Yunsik, et al.
Published: (2025)

AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection
by: Gong, Rong, et al.
Published: (2024)

Selfsupervised learning for pathological speech detection
by: Sheikh, Shakeel Ahmad
Published: (2024)

Towards the Synthesis of Non-speech Vocalizations
by: Hoq, Enjamamul, et al.
Published: (2024)

Cough activity detection for automatic tuberculosis screening
by: van Vüren, Joshua Jansen, et al.
Published: (2026)

Optimising MFCC parameters for the automatic detection of respiratory diseases
by: Yan, Yuyang, et al.
Published: (2024)

Audio-based automatic mating success prediction of giant pandas
by: Yan, WeiRan, et al.
Published: (2019)

Single-channel speech enhancement using learnable loss mixup
by: Chang, Oscar, et al.
Published: (2023)

Generalizable speech deepfake detection via meta-learned LoRA
by: Laakkonen, Janne, et al.
Published: (2025)

Boosting keyword spotting through on-device learnable user speech characteristics
by: Cioflan, Cristian, et al.
Published: (2024)

Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?
by: Araiza-Illan, Gloria, et al.
Published: (2023)

Robust fine-tuning of speech recognition models via model merging: application to disordered speech
by: Ducorroy, Alexandre, et al.
Published: (2025)

Context-aware child-directed speech detection from long-form recordings
by: Charlot, Théo, et al.
Published: (2026)

Acoustic characterization of speech rhythm: going beyond metrics with recurrent neural networks
by: Deloche, François, et al.
Published: (2024)

Differentiable All-pole Filters for Time-varying Audio Systems
by: Yu, Chin-Yun, et al.
Published: (2024)

Acoustic-to-articulatory inversion for dysarthric speech: Are pre-trained self-supervised representations favorable?
by: Maharana, Sarthak Kumar, et al.
Published: (2023)

Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform
by: Xie, Yuan, et al.
Published: (2023)

Training dynamic models using early exits for automatic speech recognition on resource-constrained devices
by: Wright, George August, et al.
Published: (2023)

Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models
by: Maisonneuve, Malo, et al.
Published: (2024)

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge
by: Leglaive, Simon, et al.
Published: (2024)

KinSPEAK: Improving speech recognition for Kinyarwanda via semi-supervised learning methods
by: Nzeyimana, Antoine
Published: (2023)

Graph-based multi-Feature fusion method for speech emotion recognition
by: Liu, Xueyu, et al.
Published: (2024)

U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation
by: Dang, Shaoxiang, et al.
Published: (2024)