Emotion recognition in speech, driven by advances in neural network methodologies, has emerged as a pivotal domain in human–machine interaction.

You can use Speech Recognition even while navigating and planning your tours with GPS. Speech Recognition is no doubt one of the best innovations made by expanding technological developments.

Affectiva, the global leader in Artificial Emotional Intelligence, today announced its new cloud-based API for measuring emotion in recorded speech.

Researchers explore a human speech recognition model based on machine learning and deep neural networks. They calculated how many words per sentence a listener understands using automatic speech ...

The model allowed the researchers to predict the human speech recognition performance of hearing-impaired listeners with different degrees of hearing loss for a variety of noise maskers with ...

Microsoft adds emotion recognition to its collection of machine learning APIs, potentially leading to computers that can sense a user's mood by looking at them.

Machine learning is becoming increasingly powerful, with a number of researchers and startups developing solutions that can analyze our speech for various things, including neurological dissorders.

Computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image. Given an image and an audio caption, the model will highlight ...

Speech recognition has roots that go back to the days of Thomas Edison ’s phonograph. Machine translation, which began to evolve in the 1950s, is newer. The two technologies working effectively ...

Emotion recognition in speech, driven by advances in neural network methodologies, has emerged as a pivotal domain in human–machine interaction. The deployment of sophisticated architectures ...