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  • 标题:Feature Extraction of Voice Segments Using Cepstral Analysis for Voice Regeneration
  • 本地全文:下载
  • 作者:P. S. Banerjee ; Baisakhi Chakraborty ; Jaya Banerjee
  • 期刊名称:BVICAM's International Journal of Information Technology
  • 印刷版ISSN:0973-5658
  • 出版年度:2015
  • 卷号:7
  • 期号:2
  • 语种:English
  • 出版社:Bharati Vidyapeeth's Institute of Computer Applications and Management
  • 摘要:Even though a lot of work has been done on areas of speech to text and vice versa or voice detection or similarity analysis of two voice samples but very less emphasis has be given to voice regeneration. General algorithms for distinct voice checking for two voice sources paved way for our endeavor in reconstructing the voice from the source voice samples provided. By utilizing these algorithms and putting further stress on the feature extraction part we tried to fabricate the source voice with different pitch and intonation patterns. This process of uniquely tracing the features and re assembling them to reproduce the target voice is what we have concentrated on in this work. While doing so the aspect of liftering and cepstrum analysis has been utilized to the fullest.
  • 关键词:Index Terms – Cepstral Analysi;liftering;cepstrum
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