Speech Recognition News and Research

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Advancing Breast Cancer Diagnosis: Harnessing the Fast Learning Network Algorithm

Researchers demonstrate the efficacy of a Fast Learning Network (FLN) algorithm-based classifier for diagnosing breast cancer. The FLN algorithm achieves high accuracy, precision, recall, F-measure, and specificity in breast cancer detection using the Wisconsin Diagnostic Breast Cancer (WDBC) and Wisconsin Breast Cancer Database (WBCD). This study highlights the potential of FLN as a reliable breast cancer diagnosing classifier, although further optimization and exploration of breast cancer stages are needed for future research.

15 Jul 2023

LyricWhiz: Unleashing Multilingual ALT with Whisper and ChatGPT

The study introduces LyricWhiz, an automatic lyrics transcription system that combines the Whisper ASR system with the GPT-4 language model to achieve accurate transcription of lyrics in multiple languages. LyricWhiz outperforms existing methodologies, reduces word error rate (WER), and creates a comprehensive dataset of publicly accessible lyrics transcriptions.

6 Jul 2023

From Ad Algorithms to Consumer Insights: The Evolution of AI Advertising

This article provides a comprehensive overview of the evolution of AI advertising research by analyzing literature from 1990 to 2022. It identifies key research areas, trends, and challenges in AI advertising and suggests future directions for integrating AI with marketing functions and improving ad effectiveness.

5 Jul 2023

Advancing Emotional Speech Recognition Using Deep Learning

Researchers introduce a speech emotion recognition (SER) system that accurately predicts a speaker's emotional state using audio signals. By employing convolutional neural networks (CNN) and Mel-frequency cepstral coefficients (MFCC) for feature extraction, the proposed system outperforms existing approaches, showcasing its potential in various applications such as human-computer interaction and emotion-aware technologies.

5 Jul 2023