AI speech synthesis system
Science & Technology
Introduction
In a groundbreaking advancement, researchers from New York University (NYU) have developed an innovative artificial intelligence (AI) system capable of translating brain signals into speech. This remarkable achievement utilizes electrocorticography (EOG) signals, combined with a sophisticated deep learning model that accurately converts brain activity into essential speech features such as pitch and loudness.
The process begins by analyzing the brain signals, which lead to the creation of an audible spectrogram. The spectrogram is subsequently transformed into natural-sounding speech. During the study, 48 participants who were undergoing epilepsy surgery were involved in reading sentences aloud, and the AI-generated speech closely matched their original spoken words. This pioneering work marks a significant step forward in the field of neuroscience and AI technology, potentially opening new avenues for communication for individuals with speech impairments.
Keywords
- AI
- Speech synthesis
- New York University
- Electrocorticography
- Deep learning
- Brain signals
- Pitch
- Loudness
- Audible spectrogram
- Speech impairment
FAQ
What is the AI speech synthesis system developed by NYU?
The AI speech synthesis system is a groundbreaking technology that converts brain signals into speech using electrocorticography (EOG) signals.
How does the system work?
The system utilizes a deep learning model to translate brain activity into speech features like pitch and loudness, which are then transformed into an audible spectrogram and finally into natural-sounding speech.
Who participated in the study?
The study involved 48 participants who were undergoing epilepsy surgery and engaged in reading sentences aloud.
How accurate is the generated speech?
The AI-generated speech closely matched the original spoken sentences provided by the participants, demonstrating a high level of accuracy in translation.
What potential impacts does this technology have?
This technology has the potential to enhance communication for individuals with speech impairments, providing a new mode of expression and interaction.
