• Title/Summary/Keyword: Voice Boosting Filter

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Voice Boosting Filter Design in Frequency Domain for Relief of Husky Voice (쉰목소리 완화를 위한 주파수 영역 음성 강조 필터 설계)

  • Kim, Hyuntae;Lee, Sanghyeop
    • Journal of Korea Multimedia Society
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    • v.19 no.12
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    • pp.1919-1926
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    • 2016
  • The people who complain of pain due to voice causes such as vocal cord nodules is increasing year by year. If the voice is changed, it is possible to give to colleagues discomfort or inconvenience during conversation. In this paper, we propose a way to reduce discomfort by improving the husky voice during the conversation. A VBF (voice boosting filter) is firstly designed to improve the husky voices. This filter may further emphasize the formant frequency components than the frequency components around the formant frequency, because the value is relatively greater than the other frequency. And a fixed-point type DSP chipset, TMS320F2812 is applied to the system, the operating frequency is 150MHz. The system was implemented as a compact for use as a portable, its size is $2.5cm{\times}10cm$. Through the test using three husky voices with some type of statement, it was satisfactory in processing speed and sound quality improvement.

Design of Multi-Purpose Preprocessor for Keyword Spotting and Continuous Language Support in Korean (한국어 핵심어 추출 및 연속 음성 인식을 위한 다목적 전처리 프로세서 설계)

  • Kim, Dong-Heon;Lee, Sang-Joon
    • Journal of Digital Convergence
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    • v.11 no.1
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    • pp.225-236
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    • 2013
  • The voice recognition has been made continuously. Now, this technology could support even natural language beyond recognition of isolated words. Interests for the voice recognition was boosting after the Siri, I-phone based voice recognition software, was presented in 2010. There are some occasions implemented voice enabled services using Korean voice recognition softwares, but their accuracy isn't accurate enough, because of background noise and lack of control on voice related features. In this paper, we propose a sort of multi-purpose preprocessor to improve this situation. This supports Keyword spotting in the continuous speech in addition to noise filtering function. This should be independent of any voice recognition software and it can extend its functionality to support continuous speech by additionally identifying the pre-predicate and the post-predicate in relative to the spotted keyword. We get validation about noise filter effectiveness, keyword recognition rate, continuous speech recognition rate by experiments.