Contents I. Introduction
Acoustic signal processing is a diverse field involving analyzing, manipulating, and interpreting sound waves to enhance audio signals’ quality, clarity, and functionality in various communication systems. This field integrates principles from physics, electrical engineering, and computer science to create advanced algorithms and techniques for tasks such as noise reduction, echo cancellation, speech recognition, and audio enhancement [1]. Acoustic signal processing is crucial in modern telecommunication systems, as it ensures clear and uninterrupted voice communication by eliminating unwanted noise and echoes. Techniques such as adaptive filtering, which dynamically adjusts filter parameters to adapt to changing acoustic environments, are commonly used to suppress background noise and cancel echoes in real time. This is particularly important in applications like VoIP (Voice over Internet Protocol), mobile communication, and teleconferencing, where maintaining high audio-quality Acoustic signal processing is crucial in modern communication systems as it enhances the clarity, quality, and reliability of audio transmission [2]. Manipulating sound waves to improve their properties, ensures effective encoding, transmission, and decoding of audio signals. Techniques such as noise reduction, echo cancellation, and compression are used to filter out unwanted noise, minimize distortions, and optimize bandwidth usage. This is particularly important in environments with significant background noise or during long-distance communication where signal degradation can occur. Additionally, acoustic signal processing facilitates advanced functionalities like speech recognition, speaker identification, and real-time audio enhancements, contributing to more natural and intelligible voice communications. Overall, these processes are integral to a wide range of applications, from telephony and video conferencing to hearing aids and smart home devices, ensuring that audio signals are transmitted accurately and received clearly, thereby improving the overall communication experience. Signal processing is crucial for the development and operation of implantable devices used for wireless monitoring. These devices effectively acquire, pre-process, enhance, and analyze physiological and behavioral signals, providing valuable insights while minimizing impact on the animal’s natural behavior. This advancement has significant implications for biomedical research and animal behavior studies, allowing for more detailed and accurate monitoring in natural settings [9]. In recent years, there has been an increased focus on studying the role of acoustic signal processing in communication [3]. This paper presents an exploration of the dominant research topics and trends over past 14 years concerning acoustic signal processing and communication using topic modeling techniques.
