Cover Image

MUSHRA-1S: A scalable and sensitive test approach for evaluating top-tier speech processing systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lechler, Laura, Balic, Ivana
Format:	Preprint
Published:	2025
Subjects:	Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Crowdsourcing MUSHRA Tests in the Age of Generative Speech Technologies: A Comparative Analysis of Subjective and Objective Testing Methods
by: Lechler, Laura, et al.
Published: (2025)

Assessing speech quality metrics for evaluation of neural audio codecs under clean speech conditions
by: Mack, Wolfgang, et al.
Published: (2025)

Low-Resource Audio Codec (LRAC): 2025 Challenge Description
by: Wojcicki, Kamil, et al.
Published: (2025)

Crowdsourced Multilingual Speech Intelligibility Testing
by: Lechler, Laura, et al.
Published: (2024)

Good practices for evaluation of synthesized speech
by: Cooper, Erica, et al.
Published: (2025)

Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation
by: Varadhan, Praveen Srinivasa, et al.
Published: (2024)

SLM-S2ST: A multimodal language model for direct speech-to-speech translation
by: Hu, Yuxuan, et al.
Published: (2025)

Evaluating pretrained speech embedding systems for dysarthria detection across heterogenous datasets
by: Wihlborg, Lovisa, et al.
Published: (2025)

Lightweight speech enhancement guided target speech extraction in noisy multi-speaker scenarios
by: Huang, Ziling, et al.
Published: (2025)

Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities
by: Saon, George, et al.
Published: (2025)

Ensemble of classifiers for speech evaluation
by: Belokrylov, G., et al.
Published: (2024)

Predicting speech intelligibility in older adults for speech enhancement using the Gammachirp Envelope Similarity Index, GESI
by: Yamamoto, Ayako, et al.
Published: (2025)

Audio-conditioned phonemic and prosodic annotation for building text-to-speech models from unlabeled speech data
by: Shirahata, Yuma, et al.
Published: (2024)

Using RLHF to align speech enhancement approaches to mean-opinion quality scores
by: Kumar, Anurag, et al.
Published: (2024)

Discrimination loss vs. SRT: A model-based approach towards harmonizing speech test interpretations
by: Buhl, Mareike, et al.
Published: (2025)

Effects of automotive microphone frequency response characteristics and noise conditions on speech and ASR quality -- an experimental evaluation
by: Buccoli, Michele, et al.
Published: (2025)

A two-step approach for speech enhancement in low-SNR scenarios using cyclostationary beamforming and DNNs
by: Bologni, Giovanni, et al.
Published: (2026)

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement
by: Lee, Dongheon, et al.
Published: (2026)

An adaptive filter bank based neural network approach for time delay estimation and speech enhancement
by: Ma, Lu
Published: (2025)

Non-invasive electromyographic speech neuroprosthesis: a geometric perspective
by: Gowda, Harshavardhana T., et al.
Published: (2025)

Synthesizing speech with selected perceptual voice qualities - A case study with creaky voice
by: Rautenberg, Frederik, et al.
Published: (2025)

Towards noise-robust speech inversion through multi-task learning with speech enhancement
by: Tabatabaee, Saba, et al.
Published: (2026)

Text-To-Speech with Chain-of-Details: modeling temporal dynamics in speech generation
by: Ma, Jianbo, et al.
Published: (2026)

Transcribe, Align and Segment: Creating speech datasets for low-resource languages
by: Sereda, Taras
Published: (2024)

On the relationship between speech and hearing
by: Umesh, Srinivasan, et al.
Published: (2024)

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

Real-time multichannel deep speech enhancement in hearing aids: Comparing monaural and binaural processing in complex acoustic scenarios
by: Westhausen, Nils L., et al.
Published: (2024)

The evaluation of a code-switched Sepedi-English automatic speech recognition system
by: Phaladi, Amanda, et al.
Published: (2024)

Joint decoding method for controllable contextual speech recognition based on Speech LLM
by: Fang, Yangui, et al.
Published: (2025)

MELA-TTS: Joint transformer-diffusion model with representation alignment for speech synthesis
by: An, Keyu, et al.
Published: (2025)

Teaching the Teachers: Boosting unsupervised domain adaptation in speech recognition by ensemble update
by: Ahmad, Rehan, et al.
Published: (2026)

Boosting Diffusion Model for Spectrogram Up-sampling in Text-to-speech: An Empirical Study
by: Zhang, Chong, et al.
Published: (2024)

Automated evaluation of children's speech fluency for low-resource languages
by: Zhang, Bowen, et al.
Published: (2025)

An automatic mixing speech enhancement system for multi-track audio
by: Liu, Xiaojing, et al.
Published: (2024)

Spatially constrained vs. unconstrained filtering in neural spatiospectral filters for multichannel speech enhancement
by: Briegleb, Annika, et al.
Published: (2024)

BabAR: from phoneme recognition to developmental measures of young children's speech production
by: Lavechin, Marvin, et al.
Published: (2026)

An interpretable speech foundation model for depression detection by revealing prediction-relevant acoustic features from long speech
by: Deng, Qingkun, et al.
Published: (2024)

Prominence-aware automatic speech recognition for conversational speech
by: Linke, Julian, et al.
Published: (2025)

Comparison of linear and nonlinear methods for decoding selective attention to speech from ear-EEG recordings
by: Thornton, Mike, et al.
Published: (2024)

TokenSE: a Mamba-based discrete token speech enhancement framework for cochlear implants
by: Chiang, Hsin-Tien, et al.
Published: (2026)