Latest Articles for Audio Processing

Research proposes better ways to assess late reverberation in rooms.

A new method improves converting whispered speech to normal speech using advanced techniques.

A new framework improves audio classification by leveraging multi-modal device knowledge.

Exploring a new approach to improving speech quality using time-context windowing.

A new method for improving real-time voice conversion quality.

SelectTTS simplifies speech generation for unseen speakers with effective frame selection.

Improving speech clarity through hybrid filterbanks and neural networks.

AASIST3 improves fake voice detection in automatic speaker verification systems.

A new method improves speech model performance across various tasks.

Researchers create LibriheavyMix to improve speech recognition in noisy environments.

New methods improve speech clarity in noisy environments using advanced technologies.

New methods improve voice separation in noisy environments.

This study examines how noise can enhance speech recognition resilience against challenges.

aTENNuate offers efficient real-time enhancement of speech signals, improving communication clarity.

TF-Mamba enhances sound localization using a novel approach integrating time and frequency data.

A new architecture improves sound detection across diverse environments.

Introducing DENSE, a method enhancing target speech extraction using dynamic embeddings.

A novel method improves audio transformation while preserving melody and sound quality.

A new framework enhances voice identity confirmation accuracy.

FlowSep introduces a fresh method for extracting sounds using language queries.

OpenACE provides a fair benchmark for assessing audio codecs across various conditions.

A new zero-shot method enhances voice conversion accuracy and minimizes sound leakage.

New approach enhances voice isolation in mixed audio settings using discrete tokens.

DAC model improves audio captioning with speed and diversity.

New methods improve sound isolation from noisy environments without labeled data.

Wave-U-Mamba enhances low-quality speech recordings for clearer communication.

New methods improve audio synchronization with changing video scenes.

Efforts to detect misleading audio content created by technology are essential.

New methods are helping machines better interpret individual sounds.

A study shows i-vectors can compete with complex models in speaker recognition.

A study on how design choices affect speech foundation models.

A new method assesses self-supervised speech models using rank measurement.

RF-GML measures audio quality without needing a reference signal.

Innovative techniques enhance music-text model training with limited resources.

New models tackle sound classification with limited training data.

A new approach improves fake audio detection using pretrained models.

A new method improves counting sources in complex signal environments.

New array designs enhance signal direction detection accuracy and efficiency.

A look at the Codec-SUPERB challenge results and codec performance metrics.

A new method to detect early room reflections improves audio experiences.