Real time speech rate converting system for elderly people

Nakamura, Akira; Seiyama, Nobumasa; Ikezawa, R.; Takagi, Tohru; Miyasaka, Eiichi

doi:10.1109/icassp.1994.389678

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…The main fields of TSM application are: Language Learning Impairment (LLI) [1-3], Second-Language Learning [4,5], Central Auditory Processing Disorders (CAPD) [6-9], verbal apraxia [10] and aphasia [9]. Despite the large number of works that are devoted to the influence of the time-expanded speech on several disorders, there are still deficiencies in this area.…”

Section: Introductionmentioning

confidence: 99%

“…The latter group was chosen based on the assumption that main difficulties in speech comprehension in elderly people are associated with central auditory processing aspects of hearing [12,13]. The same hypothesis was the principle of speech modification methods proposed by Nakamura [6] and Nejime [9]. The former was selected because of the lack of research results in the area of analysis of relationship between the CAPD and time-expansion of speech.…”

Section: Introductionmentioning

confidence: 99%

“…Applications of these methods may be the same as those proposed by Nakamura [6] (i.e. stretching the speech during television news), or by Nejime [9] (i.e.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Methods of Improving Speech Intelligibility for Listeners with Hearing Resolution Deficit

Kupryjanow

Czyżewski

2012

Diagn Pathol

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Methods developed for real-time time scale modification (TSM) of speech signal are presented. They are based on the non-uniform, speech rate depended SOLA algorithm (Synchronous Overlap and Add). Influence of the proposed method on the intelligibility of speech was investigated for two separate groups of listeners, i.e. hearing impaired children and elderly listeners. It was shown that for the speech with average rate equal to or higher than 6.48 vowels/s, all of the proposed methods have statistically significant impact on the improvement of speech intelligibility for hearing impaired children with reduced hearing resolution and one of the proposed methods significantly improves comprehension of speech in the group of elderly listeners with reduced hearing resolution.Virtual slideshttp://www.diagnosticpathology.diagnomx.eu/vs/2065486371761991

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Methods of Improving Speech Intelligibility for Listeners with Hearing Resolution Deficit

Kupryjanow

Czyżewski

2012

Diagn Pathol

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“…As a result, the need to convert voice at different speeds and play it back with its naturalness maintained, has increased. For example, the technologies that slow the speech rate of an input voice have been developed and are used in broadcasting such as television or radio [9][10][11].…”

Section: A) Background In Speech Rate Conversion Technologiesmentioning

confidence: 99%

Development of speech technologies to support hearing through mobile terminal users

Togawa

Otani

Suzuki

et al. 2015

SIP

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Development of speech technologies to support hearing through mobile terminal userstaro togawa 1 , takeshi otani 1 , kaori suzuki 2 and tomohiko taniguchi 3Mobile terminals have become the most familiar communication tool we use, and various types of people have come to use mobile terminals in various environments. Accordingly, situations in which we talk over the telephone in noisy environments or with someone who speaks fast have increased. However, it is sometimes difficult to hear a person s voice in these cases. To make the voice received through mobile terminals easy to hear, authors have developed two technologies. One is a voice enhancement technology that emphasizes a caller s voice according to the noise surrounding the recipient, and the other is a speech rate conversion technology that slows speech while maintaining voice quality. In this paper, we explain the trends and the features of these technologies and discuss ways to implement their algorithms on mobile terminals. Cellular phones and smartphones are communication tools that can be easily used anytime and anywhere, including in noisy environments. When a user is talking over the telephone in a noisy environment, his/her voice sent to call partner on the other end of the line (sending voice) mixes with the surrounding noise and becomes difficult for the call partner to hear, and the voice that is sent by the call partner (received voice) is buried by the noise surrounding the user. However, various speech technologies for improving the quality of the received voice have been developed and installed in mobile terminals. For example, a noise suppression technology that suppresses only the noise from the sending voice, with which the noise mixes, to improve voice quality has been developed [1]. In addition, a voice enhancement technology that emphasizes the call partner's voice according to the volume and type of surrounding noise in noisy environments such as station platforms has been developed and installed. Furthermore, a speech rate conversion technology that slows the fast voice of the call partner while maintaining voice quality has been developed and installed.We first explain the trends and technical features of voice enhancement technologies for improving the quality of the received voice according to the usage environment of the mobile terminal in Section II and those of speech rate conversion technologies in Section III. We then explain the implementation of the algorithms of our proposed technologies in mobile terminals in Section IV and explain other technologies for improving the quality of the received voice in Section V. Finally, we explain future applications of the speech technologies in Section VI. I IIt is generally known that the quality of received voice is deteriorated by the noise or the reverberation generated in the user environment or the call partner's environment, and information compression according to audio coderdecoder (CODEC) when talking over the telephone with the mobile terminals. However, various speech techno...

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“…Recent improvements in the speed of digital signal processors have enabled time-scale modification of speech signals in real time. Nakamura et al 6 proposed a real-time speech rate conversion system that slowed speech rates by reducing the duration of pauses and increasing the duration of voiced segments, and improved results in sentence recognition tests were obtained. Therefore, the purpose of this study was to examine the effects of speech rate slowing on speech comprehension in cochlear implant users deafened postlingually by recall tests of sentences composed of 4 to 6 words.…”

Section: Introductionmentioning

confidence: 99%

Contribution of Speech Rate to Speech Perception in Multichannel Cochlear Implant Users

Iwasaki

Nagura

Ocho

et al. 2002

Ann Otol Rhinol Laryngol

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This study describes the effect of speech rate (fast, 11 syllables per second; medium, 9 syllables per second; slow, 6 syllables per second) on speech perception in 10 cochlear implant users. The speech perception performance was evaluated on the basis of the percentage score of syllables that were correctly recalled in sentences composed of 4 to 6 words. The percentage scores at the fast, medium, and slow speech rates were 15.7%, 39.0%, and 56.0%, respectively. The effect of speech rate slowing was significant (p < .0001). Variations in the effect of speech rate slowing were observed in the cochlear implant users. The improvement of speech perception by speech rate slowing was significantly (p < .005) related to the word test score and the score at the fast speech rate. The results reveal that the rate of speech is an important factor in improving the speech perception of cochlear implant users.

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Real time speech rate converting system for elderly people

Cited by 9 publications

References 3 publications

Methods of Improving Speech Intelligibility for Listeners with Hearing Resolution Deficit

Methods of Improving Speech Intelligibility for Listeners with Hearing Resolution Deficit

Development of speech technologies to support hearing through mobile terminal users

Contribution of Speech Rate to Speech Perception in Multichannel Cochlear Implant Users

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