2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)最新文献_第5页

Quantifying parameters of a source-filter model for oesophageal speech 食道语音源滤波模型参数的量化

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151618

J. O’Toole, B. G. Zapirain

{"title":"Quantifying parameters of a source-filter model for oesophageal speech","authors":"J. O’Toole, B. G. Zapirain","doi":"10.1109/ISSPIT.2011.6151618","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151618","url":null,"abstract":"Signal processing methods can improve the quality and intelligibility of oesophageal speech. Current methods show only moderate improvement leaving potential for better results. Quantifying parameters of oesophageal speech relative to laryngeal (normal) speech would help in the design of future enhancement methods for oesophageal speech. We quantified parameters of a source-filter model on a database of sustained vowels in Spanish from 4 oesophageal and 4 normal speakers. A ten-parameter glottal waveform model was used as the source and an autoregressive model was used as the filter. Classification, using a log-spectral distance measure, showed that all oesophageal speech samples were classified as whisper voice types; a voice type with a signal to noise ratio of −20 dB. Filter parameters representing spectral amplitudes and bandwidths had a large degree of variation for oesophageal speech comparative to the degree of variation for normal speech (Brown-Forsythe test, F < 0.001). Source metrics, noise to harmonic ratio (NHR) and variation in fundamental frequency, were also significantly greater for oesophageal speech (t-test, P < 0.001). These results show a greater degree of nonstationarity, and a noisier glottal waveform, for oesophageal speech comparative to normal speech.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126368866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Low-complexity LSMR equalisation of FrFT-based multicarrier systems in doubly dispersive channels 双色散信道中基于frft的多载波系统的低复杂度LSMR均衡

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151606

A. Solyman, Stephan Weiss, J. Soraghan

引用次数: 17

Disparity energy model using a trained neuronal population 使用训练神经元群的视差能量模型

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151575

Jaime A. Martins, J. Rodrigues, J. du Buf

引用次数: 10

An Expectation-Maximization-based approach to the relative grid-locking problem 基于期望最大化的相对电网锁定问题研究

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151614

S. Fortunati, F. Gini, M. Greco, A. Farina, A. Graziano, S. Giompapa

引用次数: 5

An improved β-order WEDM spectral amplitude estimator for speech enhancement 一种用于语音增强的改进β阶WEDM谱幅估计器

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151552

Na Li, C. Bao, Bingyin Xia, Feng Deng

引用次数: 1

A tailor-made development for time domain data series pre-processing in the power industry 电力行业时域数据序列预处理的定制开发

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151586

Juan J. Gude, L. Vázquez-Seisdedos, David Diaz Martinez

引用次数: 1

EM algorithm of spherical models for binned data 分类数据球面模型的EM算法

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151542

H. Hamdan, Jingwen Wu

引用次数: 7

Mechanical vibration signal compression by LOT-based subband coding 基于lot子带编码的机械振动信号压缩

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151525

M. Oltean, J. Picheral, E. Lahalle, H. Hamdan

引用次数: 0

A robust characterization of audio signals using the level of information content per Chroma 利用每个色度的信息含量水平对音频信号进行鲁棒表征

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151562

A. Manzo-Martinez, José Antonio Camarena Ibarrola

{"title":"A robust characterization of audio signals using the level of information content per Chroma","authors":"A. Manzo-Martinez, José Antonio Camarena Ibarrola","doi":"10.1109/ISSPIT.2011.6151562","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151562","url":null,"abstract":"In this paper we propose a new technique to characterize audio-signals. We use Shannon's Entropy to estimate the level of information content per chroma and we show that involving entropy contributes for a more robust audio characterization. A new audio-fingerprint (AFP) based on this feature is proposed in this paper which we have called Entropy-Chroma Fingerprint (ECFP). Two approaches were considered to estimate entropy; the first assumes the spectral coefficients distribute normally, while the second, estimates its probability density function (PDF) with the Parzen Windows Estimation method. We compared the robustness of the ECFP against the Chromagram-Based Audio-Fingerprint (CBFP) which is determined using the Constant Q Transform (CQT). Three thousand and five hundred AFPs were determined from songs of several genres. A subset of 350 songs were severely degraded and searched for using excerpts of 5 seconds for that matter. The ECFP determined assuming gaussianity on the PDF turned out to be much more robust than the CBFP. The ECFP determined assuming gaussianity is much faster to process than both, the CBFP and the ECFP determined with Parzen Windows and still more robust.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124808185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Exponentiated enhancement for fundamental frequency extraction of noisy speech 噪声语音基频提取的指数增强方法

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151585

Masatoshi Narita, T. Shimamura

引用次数: 0