• G.Vijaya Lakshmi
• D. Raga Saadwika
• K.Surya Prakash
• I.Deva Ganapathi
• V.B.Venkata Akash

This paper presents a comprehensive review of state-of-the-art deep learning techniques applied to audio signal processing, with a focus on speech, music, and environmental sound analysis. Traditional approaches such as Hidden Markov Models (HMM) and Gaussian Mixture Models (GMM) have been widely used but often struggle with real-world noise, speaker variations, and acoustic complexity. Deep learning architectures including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Generative Adversarial Networks (GANs) have demonstrated remarkable improvements by automatically learning meaningful features from raw audio signals or log-mel spectrograms. hese models have driven significant advancements in automatic speech recognition, music classification, source separation, and audio enhancement. The paper also explores end-to-end neural frameworks that integrate feature extraction and classification within a single system, improving both accuracy and adaptability. Despite notable progress, challenges remain in terms of data availability, computational cost, and interpretability. This study highlights ongoing innovations addressing these issues and provides insights into how deep learning continues to transform the landscape of modern audio and speech processing, with a focus on cross-domain learning and efficient architectures for real-time applications.

Deep Learning,Audio Signal Processing,Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN),Speech Recognition,Environmental,SoundClassification,Source Separation,Audio Enhancement,Audio Synthesis,Feature Extraction,Time-Frequency Representation

"A Comprehensive Review on Deep Learning Techniques for Audio and Speech Signal Processing.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.h448-h453, March-2026, Available :http://www.jetir.org/papers/JETIR2603757.pdf

"A Comprehensive Review on Deep Learning Techniques for Audio and Speech Signal Processing.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. pph448-h453, March-2026, Available at : http://www.jetir.org/papers/JETIR2603757.pdf