STUDY ON UNIT-SELECTION AND STATISTICAL PARAMETRIC SPEECH SYNTHESIS TECHNIQUES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SAVARGIV MOHAMMAD; BASTANFARD AZAM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF COMPUTER AND ROBOTICS Year:2014 | Volume:7 | Issue:1 Page(s): 19-25

Download Full-Text

View:

269

Download:

247

Cites:

Information Journal Paper

Title

STUDY ON UNIT-SELECTION AND STATISTICAL PARAMETRIC SPEECH SYNTHESIS TECHNIQUES

Author(s)

SAVARGIV MOHAMMAD | BASTANFARD AZAM | Issue Writer Certificate

Keywords

SPEECH SYNTHESIS METHOD

PROSODY

REVIEW

Abstract

One of the interesting topics on multimedia domain is concerned with empowering computer in order to speech production. Speech synthesis is granting human abilities to the computer for speech production. Data-based approach and process-based approach are the two main approaches on speech synthesis. Each approach has its varied challenges. Unit selection speech synthesis and statistical parametric speech synthesis are two dominant speech synthesizer techniques. The naturalness is the main challenge of all speech synthesis approaches. The Intonation, speech style and emotional state are included in naturalness factor and all of them are considered as suprasegmental features. Equipped synthesized speech with paralinguistic information is more believable from the perceptual aspect. PROSODY information plays an important role on the synthesized speech quality of text to speech systems. The first purpose of modern speech synthesizer systems is text to speech conversion and the second purpose is transferring the emotional states of text in the voice form. In this paper two main speech synthesis approaches and their challenges are investigated in detail.

Cites

No record.

References

No record.

Cite

APA: Copy

SAVARGIV, MOHAMMAD, & BASTANFARD, AZAM. (2014). STUDY ON UNIT-SELECTION AND STATISTICAL PARAMETRIC SPEECH SYNTHESIS TECHNIQUES. JOURNAL OF COMPUTER AND ROBOTICS, 7(1), 19-25. SID. https://sid.ir/paper/698304/en

Vancouver: Copy

SAVARGIV MOHAMMAD, BASTANFARD AZAM. STUDY ON UNIT-SELECTION AND STATISTICAL PARAMETRIC SPEECH SYNTHESIS TECHNIQUES. JOURNAL OF COMPUTER AND ROBOTICS[Internet]. 2014;7(1):19-25. Available from: https://sid.ir/paper/698304/en

IEEE: Copy

MOHAMMAD SAVARGIV, and AZAM BASTANFARD, “STUDY ON UNIT-SELECTION AND STATISTICAL PARAMETRIC SPEECH SYNTHESIS TECHNIQUES,” JOURNAL OF COMPUTER AND ROBOTICS, vol. 7, no. 1, pp. 19–25, 2014, [Online]. Available: https://sid.ir/paper/698304/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops