It is a complex and challenging task that requires sophisticated algorithms and software to achieve high accuracy and performance. If you want to improve your speech recognition accuracy ...

Finally, we’ll calculate the accuracy of our model. This is the Ryerson Audio-Visual Database of Emotional Speech and Song dataset, and is free to download. This dataset has 7356 files rated by 247 ...

Revolutionizes clinical trials with Zero Data Entry™, reducing costs and improving efficiency in clinical research ...

Hasegawa-Johnson leads the Speech Accessibility Project, an initiative at the University of Illinois Urbana-Champaign to make voice recognition devices more useful for people with speech disabilities.

Meta, the parent company of Facebook and Instagram, is testing facial recognition software to combat “celeb bait” scams on its platforms, as well as to allow users to more easily regain access ...

Compare four popular AI-powered speech recognition services and learn their pros and cons. Find the best one for your business needs and budget.

1x32x32 mel-spectrogram as network input single network implementation both for CIFAR10 and Google speech commands data sets faster audio data augmentation on STFT Kaggle private LB scores evaluated ...

Listening to people with Parkinson's disease made an automatic speech recognizer 30-percent more accurate, according to a new study. As Mark Hasegawa-Johnson combed through data from his latest ...

Speechify can turn text in any format into natural-sounding speech. Based on the web, the platform can take PDFs, emails, docs, or articles and turn it into audio that can be listened to instead of ...