Latest Articles for Speech Recognition

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.

Researchers explore textless approaches for better understanding of spoken language.

A new model improves speech clarity by targeting noise and echoes.

A new dataset empowers healthcare with speech-based question systems for medical images.

A study on enhancing transcription accuracy through improved prompt design.

A new approach enhances SER systems by using noise environment descriptions.

Combining TTS and real data enhances voice recognition systems effectively.

New method improves converting silent speech to understandable audio.

A new method improves voice separation in noisy settings with multiple speakers.

This study presents a method to evaluate the meaningfulness of sound signals.

New methods aim to enhance recognition of whispered speech in automatic systems.

AI models enhance accuracy of speech-to-text conversions.

Examining techniques to protect privacy while analyzing recorded conversations.

A new model integrates audio and visual data for speech recognition and translation.

New methods improve speech recognition accuracy for diverse accents.

Wav2graph creates knowledge graphs from spoken language for improved AI understanding.

MulliVC transforms voices across languages with impressive accuracy and clarity.

New robot navigation system understands spoken commands through emotions.