Abstract: In present scenario, speaker identification under different types of noise conditions is the most challenging task in the area of speech processing. Due to adverse effect of noise on the ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: This research aims to classify mad recitation in Surah Al-Fatihah using Mel Frequency Cepstral Coefficient (MFCC) feature extraction and Convolutional Neural Network (CNN) algorithm.

Coders have had a field day weeding through the treasures in the Claude Code leak. "It has turned into a massive sharing party," said Sigrid Jin, who created the Python edition, Claw Code. Here's how ...

Yesterday’s surprise leak of the source code for Anthropic’s Claude Code revealed a lot about the vibe-coding scaffolding the company has built around its proprietary Claude model. But observers ...

Collected Voices of different peoples given to MfCC to extract the features from everyone voices later on RandomForest model is applied to train the model at last PCA ...

Anthropic’s new AutoDream feature introduces a fresh approach to memory management in Claude AI, aiming to address the challenges of cluttered and inefficient data storage. As explained by Nate Herk | ...

For developers using AI, “vibe coding” right now comes down to babysitting every action or risking letting the model run unchecked. Anthropic says its latest update to Claude aims to eliminate that ...

The research preview is currently limited to macOS devices. The research preview is currently limited to macOS devices. is a news writer focused on creative industries, computing, and internet ...

Anthropic is joining the increasingly crowded field of companies with AI agents that can take direct control of your local computer desktop. The company has announced that Claude Code (and its more ...