(AI). It involves training artificial neural networks to learn and make decisions from large amounts of data. Deep learning algorithms are modeled after the structure and function of the human brain, ...

A recent study published in the journal Scientific Reports comprehensively explored using advanced deep learning (DL ... an ...

The model’s architecture integrates keyword spotting directly into the transcription process, allowing Jargonic to maintain ...

Braina Pro is speech recognition software which is built ... Amazon Transcribe uses a deep learning process that automatically adds punctuation and formatting, as well as process with a secure ...

Confused between AI, Machine Learning, and Deep Learning? Discover their differences, applications, and how they power innovations like facial recognition, voice assistants, and self-driving cars ...

Advancements in technology have transformed various facets of healthcare, and the field of reproductive medicine is no ...

Deep learning has sparked a new model of computing, one where machines are reaching superhuman achievements in areas like image analysis, speech recognition, medical care, and much more. Together, HPE ...

Spectrogram, Multi-Head Self-Attention, Loss Function Share and Cite: Li, B. (2025) Speech Emotion Recognition Based on CNN-Transformer with Different Loss Function. Journal of Computer and ...

During the automotive portion of CEO Jensen Huang’s speech, he referred to AlexNet, a neural network architecture that gained widespread attention in 2012 when it won a computer image recognition ...