Latest Articles for Speech Recognition

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.

TOGGL model improves transcription accuracy for overlapping speech situations.

A method to enhance speech recognition quality in noisy environments.

Researchers develop SaSLaW to enhance machine speech adaptation in various environments.

A new dataset highlights biases in speech models based on gender and age.

Research reveals how to make speech models smaller and more efficient.

Adversarial training enhances keyword spotting accuracy in synthetic and real speech.

A new benchmark improves evaluation of speech emotion recognition systems across languages and emotions.

New methods enhance ASR models for multiple languages, preserving past knowledge.

A new approach enhances recognition of code-switched phrases in bilingual speech.

A new method for better handling of long data sequences.

Examining how voice patterns affect meaning and technology performance.

A look into the complexities of identifying mixed audio tracks.

O-HuBERT enhances speech recognition by separating content and expressive information.

A new method improves speech recognition for Hindi using pseudo-labeling techniques.

A system to classify Literary and Colloquial Tamil dialects using sound features.

New methods enhance computer understanding of whispered and normal speech.

A look at micro-batch clipping and its benefits for model training.

Research shows how LLMs enhance automatic speech recognition in Japanese language.

This article examines how models recognize tone, stress, and pitch accents.

SALSA enhances speech recognition accuracy for low-resource languages by integrating ASR and language models.

New method enhances ASR accuracy using language models for better transcriptions.

A new system corrects speaker identification errors for clearer conversation transcripts.

Improving speech clarity through hybrid filterbanks and neural networks.