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Journal articles on the topic 'Speech synthesis'

To see the other types of publications on this topic, follow the link: Speech synthesis.
Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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1

Hirose, Yoshifumi. "Speech synthesis apparatus and speech synthesis method." Journal of the Acoustical Society of America 128, no. 1 (2010): 515. http://dx.doi.org/10.1121/1.3472332.

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2

Murthy, Savitha, and Dinkar Sitaram. "Low Resource Kannada Speech Recognition using Lattice Rescoring and Speech Synthesis." Indian Journal Of Science And Technology 16, no. 4 (January 29, 2023): 282–91. http://dx.doi.org/10.17485/ijst/v16i4.2371.

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3

Silverman, Kim E. A. "Speech synthesis." Journal of the Acoustical Society of America 90, no. 6 (December 1991): 3391. http://dx.doi.org/10.1121/1.401356.

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4

Takagi, Tohru. "Speech Synthesis." Journal of the Institute of Television Engineers of Japan 46, no. 2 (1992): 163–71. http://dx.doi.org/10.3169/itej1978.46.163.

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5

Kuusisto, Finn. "Speech synthesis." XRDS: Crossroads, The ACM Magazine for Students 21, no. 1 (October 14, 2014): 63. http://dx.doi.org/10.1145/2667637.

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6

Kamai, Takahiro, and Yumiko Kato. "Speech Synthesis Method And Speech Synthesizer." Journal of the Acoustical Society of America 129, no. 4 (2011): 2356. http://dx.doi.org/10.1121/1.3582212.

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7

Kagoshima, Takehiko, and Masami Akamine. "Speech synthesis method and speech synthesizer." Journal of the Acoustical Society of America 125, no. 6 (2009): 4108. http://dx.doi.org/10.1121/1.3155494.

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8

Suckle, Leonard I. "Speech synthesis system." Journal of the Acoustical Society of America 84, no. 4 (October 1988): 1580. http://dx.doi.org/10.1121/1.397209.

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9

Sharman, Richard Anthony. "Speech synthesis system." Journal of the Acoustical Society of America 103, no. 6 (June 1998): 3136. http://dx.doi.org/10.1121/1.423023.

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10

Kagoshima, Takehiko, and Masami Akamine. "Speech synthesis method." Journal of the Acoustical Society of America 124, no. 5 (2008): 2678. http://dx.doi.org/10.1121/1.3020583.

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11

O'Shaughnessy, Douglas, Louis Barbeau, David Bernardi, and Danièle Archambault. "Diphone speech synthesis." Speech Communication 7, no. 1 (March 1988): 55–65. http://dx.doi.org/10.1016/0167-6393(88)90021-0.

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12

Kagoshima, Takehiko, and Masami Akamine. "Speech synthesis method." Journal of the Acoustical Society of America 112, no. 1 (2002): 21. http://dx.doi.org/10.1121/1.1500919.

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13

Kondo, Reishi, and Yukio Mitome. "Speech synthesis apparatus." Journal of the Acoustical Society of America 113, no. 3 (2003): 1201. http://dx.doi.org/10.1121/1.1566353.

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14

Pinto, N. B., and D. G. Childers. "Formant Speech Synthesis." IETE Journal of Research 34, no. 1 (January 1988): 5–20. http://dx.doi.org/10.1080/03772063.1988.11436699.

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15

Kagoshima, Takehiko, and Masami Akamine. "Speech synthesis method." Journal of the Acoustical Society of America 117, no. 3 (2005): 994. http://dx.doi.org/10.1121/1.1896669.

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16

Tabei, Yukio. "Speech synthesis device." Journal of the Acoustical Society of America 120, no. 5 (2006): 2414. http://dx.doi.org/10.1121/1.2395159.

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17

Amano, Katsumi. "Speech synthesis method." Journal of the Acoustical Society of America 121, no. 6 (2007): 3271. http://dx.doi.org/10.1121/1.2748583.

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18

Katae, Nobuyuki. "Speech synthesis system." Journal of the Acoustical Society of America 121, no. 6 (2007): 3271. http://dx.doi.org/10.1121/1.2748586.

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19

Stansfield, E. V. "Electronic Speech Synthesis." IEE Proceedings F Communications, Radar and Signal Processing 132, no. 2 (1985): 127. http://dx.doi.org/10.1049/ip-f-1.1985.0029.

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20

Leslie, IP. "Electronic speech synthesis." Microprocessors and Microsystems 9, no. 1 (January 1985): 32. http://dx.doi.org/10.1016/0141-9331(85)90219-4.

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21

Janai, Siddhanna, Shreekanth T., Chandan M., and Ajish K. Abraham. "Speech-to-Speech Conversion." International Journal of Ambient Computing and Intelligence 12, no. 1 (January 2021): 184–206. http://dx.doi.org/10.4018/ijaci.2021010108.

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A novel approach to build a speech-to-speech conversion (STSC) system for individuals with speech impairment dysarthria is described. STSC system takes impaired speech having inherent disturbance as input and produces a synthesized output speech with good pronunciation and noise free utterance. The STSC system involves two stages, namely automatic speech recognition (ASR) and automatic speech synthesis. ASR transforms speech into text, while automatic speech synthesis (or text-to-speech [TTS]) performs the reverse task. At present, the recognition system is developed for a small vocabulary of 50 words and the accuracy of 94% is achieved for normal speakers and 88% for speakers with dysarthria. The output speech of TTS system has achieved a MOS value of 4.5 out of 5 as obtained by averaging the response of 20 listeners. This method of STSC would be an augmentative and alternative communication aid for speakers with dysarthria.
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22

Lin, Qiguang. "Speech production theory and articulatory speech synthesis." Journal of the Acoustical Society of America 90, no. 4 (October 1991): 2203. http://dx.doi.org/10.1121/1.401651.

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23

Talkin, David. "Fundamentals of Speech Synthesis and Speech Recognition." Language and Speech 39, no. 1 (January 1996): 91–94. http://dx.doi.org/10.1177/002383099603900105.

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24

Ferit Gigi, Ercan. "Speech Synthesis Using Concatenation Of Speech Waveforms." Journal of the Acoustical Society of America 129, no. 1 (2011): 545. http://dx.doi.org/10.1121/1.3554813.

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25

Coorman, Geert. "Speech synthesis using concatenation of speech waveforms." Journal of the Acoustical Society of America 124, no. 6 (2008): 3371. http://dx.doi.org/10.1121/1.3047443.

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26

Coorman, Geert. "Speech synthesis using concatenation of speech waveforms." Journal of the Acoustical Society of America 116, no. 3 (2004): 1331. http://dx.doi.org/10.1121/1.1809938.

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27

James, Jesin, Balamurali B.T., Catherine Watson, and Hansjörg Mixdorff. "Exploring Prosodic Features Modelling for Secondary Emotions Needed for Empathetic Speech Synthesis." Sensors 23, no. 6 (March 10, 2023): 2999. http://dx.doi.org/10.3390/s23062999.

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A low-resource emotional speech synthesis system for empathetic speech synthesis based on modelling prosody features is presented here. Secondary emotions, identified to be needed for empathetic speech, are modelled and synthesised in this investigation. As secondary emotions are subtle in nature, they are difficult to model compared to primary emotions. This study is one of the few to model secondary emotions in speech as they have not been extensively studied so far. Current speech synthesis research uses large databases and deep learning techniques to develop emotion models. There are many secondary emotions, and hence, developing large databases for each of the secondary emotions is expensive. Hence, this research presents a proof of concept using handcrafted feature extraction and modelling of these features using a low-resource-intensive machine learning approach, thus creating synthetic speech with secondary emotions. Here, a quantitative-model-based transformation is used to shape the emotional speech’s fundamental frequency contour. Speech rate and mean intensity are modelled via rule-based approaches. Using these models, an emotional text-to-speech synthesis system to synthesise five secondary emotions-anxious, apologetic, confident, enthusiastic and worried-is developed. A perception test to evaluate the synthesised emotional speech is also conducted. The participants could identify the correct emotion in a forced response test with a hit rate greater than 65%.
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28

Taylor, H. Rosemary. "Book Review: Speech Synthesis and Recognition Systems, Speech Synthesis and Recognition." International Journal of Electrical Engineering & Education 26, no. 4 (October 1989): 366. http://dx.doi.org/10.1177/002072098902600409.

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29

Klabbers, Esther A., Taniya Mishra, and Jan P. H. van Santen. "Recombinant speech synthesis: Natural text-to-speech synthesis with prosodic control." Journal of the Acoustical Society of America 126, no. 4 (2009): 2205. http://dx.doi.org/10.1121/1.3248655.

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30

Ning, Yishuang, Sheng He, Zhiyong Wu, Chunxiao Xing, and Liang-Jie Zhang. "A Review of Deep Learning Based Speech Synthesis." Applied Sciences 9, no. 19 (September 27, 2019): 4050. http://dx.doi.org/10.3390/app9194050.

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Speech synthesis, also known as text-to-speech (TTS), has attracted increasingly more attention. Recent advances on speech synthesis are overwhelmingly contributed by deep learning or even end-to-end techniques which have been utilized to enhance a wide range of application scenarios such as intelligent speech interaction, chatbot or conversational artificial intelligence (AI). For speech synthesis, deep learning based techniques can leverage a large scale of <text, speech> pairs to learn effective feature representations to bridge the gap between text and speech, thus better characterizing the properties of events. To better understand the research dynamics in the speech synthesis field, this paper firstly introduces the traditional speech synthesis methods and highlights the importance of the acoustic modeling from the composition of the statistical parametric speech synthesis (SPSS) system. It then gives an overview of the advances on deep learning based speech synthesis, including the end-to-end approaches which have achieved start-of-the-art performance in recent years. Finally, it discusses the problems of the deep learning methods for speech synthesis, and also points out some appealing research directions that can bring the speech synthesis research into a new frontier.
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31

Boldakov, V. "Emotional Speech Synthesis with Emotion Embeddings." Herald of the Siberian State University of Telecommunications and Informatics, no. 4 (December 18, 2021): 23–31. http://dx.doi.org/10.55648/1998-6920-2021-15-4-23-31.

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Several neural network architectures provide high-quality speech synthesis. Several neural network architectures provide high-quality speech synthesis. In this article, emotional speech synthesis with global style tokens is researched. A novel method of emotional speech synthesis with emotional text embeddings is described.
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32

Sanjay, Gaikwad Vijayendra. "DICTIONARY APPLICATION WITH SPEECH RECOGNITION AND SPEECH SYNTHESIS." International Journal of Advanced Research in Computer Science 9, no. 1 (February 20, 2018): 27–29. http://dx.doi.org/10.26483/ijarcs.v9i1.5155.

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33

Bachan, Jolanta, and Dafydd Gibbon. "Close Copy Speech Synthesis for Speech Perception Testing." Investigationes Linguisticae 13 (June 15, 2006): 9. http://dx.doi.org/10.14746/il.2006.13.2.

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34

Lyberg, Bertil. "Process for evaluating speech quality in speech synthesis." Journal of the Acoustical Society of America 103, no. 3 (March 1998): 1249. http://dx.doi.org/10.1121/1.423212.

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35

Järvinen, Kari. "Digital speech processing: Speech coding, synthesis, and recognition." Signal Processing 30, no. 1 (January 1993): 133–34. http://dx.doi.org/10.1016/0165-1684(93)90056-g.

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36

Cohen, Michael M., and Dominic W. Massaro. "Synthesis of visible speech." Behavior Research Methods, Instruments, &amp Computers 22, no. 2 (March 1990): 260–63. http://dx.doi.org/10.3758/bf03203157.

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37

Bansal, Poonam, Amita Pradhan, Ankita Goyal, Astha Sharma, and Mona Arora. "Speech Synthesis - Automatic Segmentation." International Journal of Computer Applications 98, no. 4 (July 18, 2014): 29–31. http://dx.doi.org/10.5120/17172-7253.

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38

Wang, William S. Y., and R. Linggard. "Electronic Synthesis of Speech." Language 62, no. 3 (September 1986): 705. http://dx.doi.org/10.2307/415500.

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39

Moore, Danial J. "Three dimensional speech synthesis." Journal of the Acoustical Society of America 102, no. 1 (July 1997): 24. http://dx.doi.org/10.1121/1.419826.

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40

Venkatagiri, Horabail, and Tenkasi Ramabadran. "Digital speech synthesis: Tutorial." Augmentative and Alternative Communication 11, no. 1 (January 1995): 14–25. http://dx.doi.org/10.1080/07434619512331277109.

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41

Campbell, Nick. "High‐definition speech synthesis." Journal of the Acoustical Society of America 100, no. 4 (October 1996): 2850. http://dx.doi.org/10.1121/1.416767.

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42

Damper, Robert I. "Principles of Speech Synthesis." Physics Bulletin 36, no. 8 (August 1985): 336–38. http://dx.doi.org/10.1088/0031-9112/36/8/023.

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43

Yato, Fumihiro. "Speech analysis–synthesis system." Journal of the Acoustical Society of America 85, no. 5 (May 1989): 2246. http://dx.doi.org/10.1121/1.397803.

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44

Faruquie, Tanveer Afzal. "Translingual visual speech synthesis." Journal of the Acoustical Society of America 118, no. 2 (2005): 596. http://dx.doi.org/10.1121/1.2040281.

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45

Campbell, Nick. "Data‐driven speech synthesis." Journal of the Acoustical Society of America 105, no. 2 (February 1999): 1029–30. http://dx.doi.org/10.1121/1.424923.

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46

Carlson, R. "Models of speech synthesis." Proceedings of the National Academy of Sciences 92, no. 22 (October 24, 1995): 9932–37. http://dx.doi.org/10.1073/pnas.92.22.9932.

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47

Hain, Horst-Udo. "Method for speech synthesis." Journal of the Acoustical Society of America 126, no. 3 (2009): 1647. http://dx.doi.org/10.1121/1.3230476.

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48

Carlson, Rolf. "“Speech Synthesis and Phonetics”." Journal of Phonetics 19, no. 1 (January 1991): 1. http://dx.doi.org/10.1016/s0095-4470(19)30305-5.

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49

Jassem, Wiktor. "Speech Synthesis and Recognition." Journal of Phonetics 17, no. 3 (July 1989): 245–47. http://dx.doi.org/10.1016/s0095-4470(19)30433-4.

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50

Zen, Heiga, Keiichi Tokuda, and Alan W. Black. "Statistical parametric speech synthesis." Speech Communication 51, no. 11 (November 2009): 1039–64. http://dx.doi.org/10.1016/j.specom.2009.04.004.

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