The effect of polarity inversion of speech on human perception and data hiding as an application
S. Sakaguchi,T. Arai,Y. Murahara +2 more
- Vol. 2, pp 917-920
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TLDR
An algorithm to hide data in speech signals by inverted the polarity of the signal at every syllable according to the assigned bit and was able to successfully hide data and restore it automatically.Abstract:
In this paper we investigate how polarity inversion of speech signals effects human perception, and we apply this technique for data hiding. In most languages, glottal airflow during phonation is uni-directional, causing constant polarity of the speech waveform. On the other hand, the human auditory system cannot discriminate between speech signals with positive and negative polarity. Based on these facts, we developed an algorithm to hide data in speech signals. We assigned one bit to each syllable of speech, and inverted the polarity of the signal at every syllable according to the assigned bit. We performed a test using 20 sentences from the TIMIT corpus to determine both whether a human could distinguish between the original and polarity-inverted signal and whether we could automatically restore the embedded binary data. We found that we were able to successfully hide data and restore it automatically.read more
Citations
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Journal ArticleDOI
Right-Hemisphere Auditory Cortex Is Dominant for Coding Syllable Patterns in Speech
TL;DR: Right-hemisphere auditory cortex was 100% more accurate in following contours of the speech envelope and had a 33% larger response magnitude while following the envelope compared with the left hemisphere, providing evidence that the right hemisphere plays a specific and important role in speech processing and support the hypothesis that acoustic processing of speech involves the decomposition of the signal into constituent temporal features by rate-specialized neurons in right- and left-hemicycle auditory cortex.
Posted Content
Glottal Source Processing: from Analysis to Applications
TL;DR: This paper discusses how tools and techniques for glottal source processing might be properly integrated in various voice technology applications, starting from analysis tools for pitch tracking, detection ofglottal closure instant, estimation and modeling of glotte flow.
Journal ArticleDOI
Glottal source processing: From analysis to applications
TL;DR: A comprehensive overview of techniques for glottal source processing can be found in this article, where the authors discuss how these tools and techniques might be properly integrated in various voice technology applications.
Journal ArticleDOI
Residual Excitation Skewness for Automatic Speech Polarity Detection
TL;DR: A very simple algorithm based on the skewness of two excitation signals that significantly reduces the computational load through its simplicity and is observed to exhibit the strongest robustness in both noisy and reverberant environments.
Journal ArticleDOI
Speech Watermarking for Analog Flat-Fading Bandpass Channels
TL;DR: A blind speech watermarking algorithm is presented that embeds the watermark data in the phase of non-voiced speech by replacing the excitation signal of an autoregressive speech signal representation by the recursive least-squares (RLS) equalization-based watermark detector.
References
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TL;DR: In this paper, the authors introduce articulatory phonetics phonology and phonetic transcription, including the Consonants of English English vowels and English words and sentences, as well as the international phonetic alphabet feature hierarchy performance exercises.
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John E. Markel,A. Gray +1 more
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TL;DR: A novel technique for embedding digital "watermarks" into digital audio signals by filtering a PN-sequence with a filter that approximates the frequency masking characteristics of the human auditory system (HAS).
Journal ArticleDOI
Linear prediction of speech
TL;DR: The book that the authors will offer right here is the soft file concept, which make you can easily find and get this linear prediction of speech by reading this site.