Latest Articles for Speech Recognition

A new method improves how systems handle errors in spoken language understanding.

A new method enhances text recognition accuracy across various applications.

A universal audio clip can mute advanced ASR models like Whisper.

Harnessing early-exit models for efficient federated learning in ASR systems.

SpeechVerse bridges audio understanding and language processing for improved human-computer interaction.

Enhanced speech recognition for classrooms using advanced training techniques improves learning.

Denoising Language Models improve error correction in speech recognition systems using synthetic data.

Learn how speech inpainting is restoring audio quality in various fields.

A new model improves speech recognition using multiple decoding methods.

A study on enhancing ASR for Arabic dialects using efficient model techniques.

Exploring self-supervised learning's role in speech processing and its challenges.

A look at new methods in understanding overlapping speech during conversations.

New method targets rhythm changes for stealthy speech attacks.

A new system helps separate speech from noise for clearer communication.

Learn about online speaker diarization and its significance in various applications.

New benchmark tool assesses discrete audio tokens for various speech processing tasks.

A new method combines acoustic features and confidence scores for better error correction.

A study on how machines adapt to phonological changes in speech.

A system combines audio and video to enhance speaker detection accuracy.

A new method improves machine dialogue through pseudo-stereo data.

This study presents a dataset and method to enhance Chinese ASR accuracy using Pinyin.

This study focuses on improving detection of deepfake audio using advanced methods.

Understanding uncertainty boosts the accuracy of emotion recognition in real-world scenarios.

A system for speaker recognition in multilingual audio without extensive data.

Improving speaker anonymization technology for nine languages to ensure privacy.

Research highlights the role of video in improving speech recognition in noisy environments.

A new method improves accuracy in recognizing speech from multiple speakers.

Explore how the auditory cortex integrates sound over time.

A new method improves speech clarity in noisy environments using dual neural networks.

XLSR-Transducer model excels in real-time transcription with minimal data.

A new model improves accuracy in speech-to-text capabilities across multiple languages.

Research reveals risks in multi-task speech models like Whisper.

TokenVerse simplifies the analysis of spoken conversations by integrating multiple tasks into a single model.

This study examines Mix-Training for keyword spotting in noisy speech conditions.

Improving speech recognition systems for languages with limited online data.

This study examines how neural networks interpret speech using spectrograms.

Learn how context improves automatic speech recognition accuracy and word recognition.

This study uses fiwGAN to explore vowel harmony patterns in Assamese language.

A new framework enhances ASR performance using limited data and resources.

This article discusses ways to enhance numeric expression formatting in automatic transcripts.