Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines

• Main Authors: Nagi J., Yap K.S., Tiong S.K., Ahmed S.K., Nagi F.
• Other Authors: 25825455100
• Format: Conference paper
• Published: 2023
• Subjects: Artificial intelligence; Bandpass filters; Civil aviation; Discrete Fourier transforms; Fourier transforms; Image retrieval; Impulse response; Information technology; Power spectrum; Signal processing; Spectrum analysis; Spectrum analyzers; Support vector machines; Telecommunication; Telecommunication equipment; Vectors; Carrier frequencies; Decision logics; Detection models; Detection schemes; Detection techniques; Dtmf frequencies; Efficient methods; Finite impulse responses; Frequency variations; Hybrid signal processing; Input samples; Intelligent classifications; Intelligent detections; Multi frequencies; Power Spectrum analysis; Support vectors; White gaussian noises; Frequency response
• Institution: Universiti Tenaga Nasional

Efficient methods for DTMF signal detection are important for developing telecommunication equipment. This paper presents a hybrid signal processing and artificial intelligence based approach for the detection of Dual-tone Multifrequency (DTMF) tones under the influence of White Gaussian Noise (WGN)...