Cepstrum

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A cepstrum is the result of taking the Fourier transform (FT) of the log spectrum as if it were a signal. (Wikipedia.org)






Conferences related to Cepstrum

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2020 IEEE International Conference on Consumer Electronics (ICCE)

The International Conference on Consumer Electronics (ICCE) is soliciting technical papersfor oral and poster presentation at ICCE 2018. ICCE has a strong conference history coupledwith a tradition of attracting leading authors and delegates from around the world.Papers reporting new developments in all areas of consumer electronics are invited. Topics around the major theme will be the content ofspecial sessions and tutorials.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


2020 IEEE Radar Conference (RadarConf20)

Annual IEEE Radar Conference

  • 2018 IEEE Radar Conference (RadarConf18)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems, including systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, shipborne, and spaceborne realizations.

  • 2017 IEEE Radar Conference (RadarCon)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems. This includes systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, and spaceborn realizations.

  • 2016 IEEE Radar Conference (RadarCon)

    A continuing series of annual RADAR Conferences IEEE-AESS

  • 2015 IEEE Radar Conference (RadarCon)

    The scope of the IEEE 2015 International Radar Conference includes all aspects of civil and military radar. Topics range from fundamental theory to cutting-edge applications, from signal processing, modeling, simulation to hardware implementation and experimental results.

  • 2014 IEEE Radar Conference (RadarCon)

    The 2014 IEEE Radar Conference will showcase innovations and developments in radar technology. Topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, signal processing, component advances, etc.

  • 2013 IEEE Radar Conference (RadarCon)

    The conference theme is The Arctic The New Frontier as it presents a vast and challenging environment for which radar systems operating in a multi-sensor environment are currently being developed for deployment on space, air, ship and ground platforms and for both remote sensing of the environment and for the monitoring of human activity. It is one of the major challenges and applications being pursued in the field of radar development in Canada.

  • 2012 IEEE Radar Conference (RadarCon)

    The 2012 IEEE Radar Conference will host 400 to 600 attendees interested in innovations and developments in radar technology. The radar related topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, component advances, signal processing and data processing utilizing advanced algorithms. The conference will also include exhibits by vendors of radar systems, radar components, instrumentation, related software and publ

  • 2011 IEEE Radar Conference (RadarCon)

    RadarCon11 will feature topics in radar systems, technology, applications, phenomenology,modeling, & signal processing. The conference theme, In the Eye of the Storm, highlights the strong regional interest in radar for severe weather analysis and tracking. Broader implications of the theme reflect global interests such as radar's role in assessing climate change, supporting myriad defense applications, as well as issues with spectrum allocation and management.

  • 2010 IEEE International Radar Conference

    RADAR Systems, RADAR technology

  • 2009 IEEE Radar Conference

    The conference's scope is civil and military radar, including science, technology, and systems. The theme for RADAR '09 is "Radar: From Science to Systems," emphasizing scientific or observational requirements and phenomenology that lead to the systems that we in the radar community develop.

  • 2008 IEEE Radar Conference

    The 2008 IEEE Radar Conference will focus on the key aspects of radar theory and applications as listed below. Exploration of new avenues and methodologies of radar signal processing will also be encouraged. Tutorials will be held in a number of fields of radar technology. The Conference will cover all aspects of radar systems for civil, security and defense applications.

  • 2007 IEEE Radar Conference

  • 2006 IEEE Radar Conference

  • 2005 IEEE International Radar Conference

  • 2004 IEEE Radar Conference

  • 2003 IEEE Radar Conference

  • 2002 IEEE Radar Conference

  • 2001 IEEE Radar Conference

  • 2000 IEEE International Radar Conference

  • 1999 IEEE Radar Conference

  • 1998 IEEE Radar Conference

  • 1997 IEEE Radar Conference

  • 1996 IEEE Radar Conference


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Periodicals related to Cepstrum

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Geoscience and Remote Sensing Letters, IEEE

It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...


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Most published Xplore authors for Cepstrum

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Xplore Articles related to Cepstrum

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New time-frequency derived cepstral coefficients for automatic speech recognition

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

The goal is to improve recognition rate by optimisation of Mel Frequency Cepstral Coefficients (MFCCs): modifications concern the time-frequency representation used to estimate these coefficients. There are many ways to obtain a spectrum out of a signal which differ in the method itself (Fourier, Wavelets,…), and in the normalisation. We show here that we can obtain noise resistant cepstral coefficients, ...


Differential cepstrum defined on interpolated sequences

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

The paper introduces a novel definition of the differential cepstrum. It is based on the interpolation sequences in the frequency domain and exists also for the singular signals with no spectral inverse. Besides, we showed analytically and statistically that such a differential cepstrum exhibits lower cepstral aliasing when calculated with the DFT comparing to the calculation without interpolation. On average, ...


Erratum - Correction to: "Comparison of Cepstrum-Based Methods for Radial Blind Deconvolution of Ultrasound Images", Vol. 44, No. 3, p. 666.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1997

None


Statistical feature based child emotion analysis

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016

To characterize any speech signal, features plays an important role as a parameter to best describe a particular speaker from his/her voice. In emotional speech recognition system prosodic and spectral features provide a significant detecting parameter in differentiating various classes of emotions as these features closely resembles human vocal tract system. The statistical properties of these features vary with different ...


Analysis and implementation of a "Quranic" verses delimitation system in audio files using speech recognition techniques

2006 2nd International Conference on Information & Communication Technologies, 2006

With more than 300 audio recitations of the Holy Quran available for free on the internet, there is an increasing need for an automated delimiter that can extract the verses from the audio files, thus enabling the creation of hundreds of applications. Using the open source Sphinx framework as the basis of our research, we have developed an Automatic Speech ...


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Educational Resources on Cepstrum

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IEEE.tv Videos

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IEEE-USA E-Books

  • New time-frequency derived cepstral coefficients for automatic speech recognition

    The goal is to improve recognition rate by optimisation of Mel Frequency Cepstral Coefficients (MFCCs): modifications concern the time-frequency representation used to estimate these coefficients. There are many ways to obtain a spectrum out of a signal which differ in the method itself (Fourier, Wavelets,…), and in the normalisation. We show here that we can obtain noise resistant cepstral coefficients, for speaker independent connected word recognition. The recognition system is based on a continuous whole word hidden Markov model. An error reduction rate of approximately 50% is achieved. Moreover evaluation tests demonstrate that these results can be obtained with smaller databases: halving the training database have small effects on recognition rates (which is not the case with traditional MFCCs).

  • Differential cepstrum defined on interpolated sequences

    The paper introduces a novel definition of the differential cepstrum. It is based on the interpolation sequences in the frequency domain and exists also for the singular signals with no spectral inverse. Besides, we showed analytically and statistically that such a differential cepstrum exhibits lower cepstral aliasing when calculated with the DFT comparing to the calculation without interpolation. On average, the improvement is 39 % in case of the interpolation to the half-intervals and 46 % in case of the quarter- intervals.

  • Erratum - Correction to: "Comparison of Cepstrum-Based Methods for Radial Blind Deconvolution of Ultrasound Images", Vol. 44, No. 3, p. 666.

    None

  • Statistical feature based child emotion analysis

    To characterize any speech signal, features plays an important role as a parameter to best describe a particular speaker from his/her voice. In emotional speech recognition system prosodic and spectral features provide a significant detecting parameter in differentiating various classes of emotions as these features closely resembles human vocal tract system. The statistical properties of these features vary with different emotional speech utterances and due to change in ascent, speaking style and language of the speaker. In this paper, an attempt is made taking into account these facts to categorize various classes of emotional speech. The result is promising in detecting four classes of emotions as angry, fear, sad and surprise of children database generated by us.

  • Analysis and implementation of a "Quranic" verses delimitation system in audio files using speech recognition techniques

    With more than 300 audio recitations of the Holy Quran available for free on the internet, there is an increasing need for an automated delimiter that can extract the verses from the audio files, thus enabling the creation of hundreds of applications. Using the open source Sphinx framework as the basis of our research, we have developed an Automatic Speech Recognizer (ASR) for the Arabic language, it was then extended to take into account the specialties of the recitation of the holy Quran. The system developed showed promising results and could be used as the basis of a more evolved delimiter

  • Detection of the fundamental frequency in noisy environment for speech enhancement of a hearing aid

    This paper describes a method for noise-proof detection of the fundamental frequency of the voice in a noisy environment. Noise reduction techniques have been required in the development of a hearing aid, because noise makes intelligibility of hearing awfully inferior. In various methods of noise reduction, the fundamental frequency is often a significant parameter, but it is difficult to extract the frequency from the noisy voice. In order to utilize a comb filter method for noise reduction, a new method of detecting the fundamental frequency is developed by using the property of continuity in the fundamental frequency and the power spectrum envelope (PSE) of the human voice. The continuity of the PSE is utilized for determining the most reliable frequency. The gross pitch error (GPE) is reduced by the determination. Besides the frequency used for the comb filter is obtained from a linear predicting frequency and the latest fundamental frequency from the noisy voice, so as to suppress fluctuation of the frequency that degrades filtered voice. The procedure improves a fine pitch error (FPE) within 5%. The results of the evaluation showed that the present method proved to be superior to the traditional cepstrum method in the GPE and the FPE. We conclude that the proposed frequency detection method is available for noise reduction in the comb filter method.

  • Blind system identification using cyclostationarity and the complex cepstrum

    None

  • Automatic Smoothing of Periodograms

    Thresholding the cepstrum associated with the periodogram is a smoothing technique that appears to be very useful for variance reduction. Here the thresholding is performed via the methods SThresh and EbayesThresh. They both work fine in the broadband spectra case, even if some of the data is missing. The SThresh method appears to be more efficient as it shows a smaller variance and is faster computationally. The smoothing methods are also shown to perform well on a real-life broadband signal

  • Channel and noise normalization using affine transformed cepstrum

    The paper addresses the environmental mismatch problem that arises from noise and channel variabilities. A new feature mapping technique based on an optimal affine transform of the cepstrum is proposed to solve the mismatch problem observed over the speaker recognition systems. It is designed based on the fact that both the channel and noise interferences basically cause the cepstrum space to undergo an affine transformation. By taking an inverse transformation, one can easily decouple from the speech the effects of the channel and noise. Alternatively, one can take a forward transform of the training data to simulate the operating conditions.

  • A novel transform-domain image watermark

    A novel transform-domain image watermark based on cepstrum analysis is proposed in this paper. A complex cepstrum-based scheme is developed to embed a gray-level image in the one-dimensional cepstrum components of the original image signal. Computer simulation results show that the proposed algorithm is imperceptible and is robust to most watermarking attacks, especially to image cropping, JPEG compression and multipliable noise.



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