JOURNAL ARTICLE

Magnitude Spectrum Speech Hiding

Abstract

This paper presents a speech-in-speech hiding framework for the purpose of reducing the storage and transmission overhead in electronic voice mail applications, as well as for steganography applications of hiding secret speech messages for voice mail security. The technique used exploits the low-pass spectral properties of the Fourier magnitude of a host speech signal to embed another speech signal in the low-amplitude-high-frequency region of the host speech signal's spectral magnitude. Experimental evaluations on real male and female voice segments show that our technique is capable of hiding one speech message inside another host speech segment to produce a stego speech segment that is indistinguishable from the original host speech, while being able to extract the hidden speech message without any degradations in quality.

Keywords:
Computer science Speech recognition Voice activity detection Codec2 Speech coding Speech processing Steganography Overhead (engineering) Linear predictive coding Information hiding SIGNAL (programming language) Speech synthesis Exploit Host (biology) Speech enhancement Embedding Artificial intelligence

Metrics

18
Cited By
0.30
FWCI (Field Weighted Citation Impact)
7
Refs
0.58
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Music and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing

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