Intelligent Speech Signal Processing

Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.

Highlights different data analytics techniques in speech signal processing, including machine learning and data miningIllustrates different applications and challenges across the design, implementation and management of intelligent systems and neural networks techniques for speech signal processingIncludes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks

1. A Real-Time DSP-Based System for Voice Activity Detection and Background Noise Reduction
2. Voice Activity Detection Based Home Automation System for Special Needs People
3. Speech Recognition using Convolutional Neural Networks
4. A Deep Dive into Deep Learning Techniques for solving Spoken Language Identification Problems in Speech Signal processing
5. Convolutional Neural Networks for Raw Speech Recognition
6. Disambiguating Conflicting Classification Results in AVSR
7. Robust Bimodal Hindi speech recognition under adverse noisy conditions
8. Speech Disorder Identification Using Artificial Neural Network and Support Vector Machine: A Comparative Study
9. Large Scale Data based Audio Scene Analysis
10. Automatic Speech to Speech Summarization for Tamil Language