Prosodic Boundary Prediction Model for Vietnamese Text-To-Speech

A speech synthesizer which sounds similar to a human voice is preferred over a robotic voice, and hence to increase the naturalness of a speech synthesizer an efficacious prosody model is imperative. Hence, this paper is focused on developing a prosody prediction model using sentiment analysis for a Tamil speech synthesizer. Two variations of prosody prediction models using SentiWordNet are experimented: one without a stemmer and the other with a stemmer. The prosody prediction model with a stemmer performs much more efficiently than the one without a stemmer as it tackles the highly agglutinative and inflectional words in Tamil language in a better way and is exemplified clearly, in this paper. The performance of the prosody prediction model with a stemmer has a higher classification accuracy of 77% on the test set in comparison to the 57% accuracy by the prosody model without a stemmer.

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A Mandarin Prosodic Boundary Prediction Model Based on Multi-Task Learning

10.21437/interspeech.2019-1400 ◽

2019 ◽

Cited By ~ 1

Author(s):

Huashan Pan ◽

Xiulin Li ◽

Zhiqiang Huang

Keyword(s):

Prediction Model ◽

Model Based ◽

Task Learning ◽

Prosodic Boundary

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A Review of 21 iPad Applications for Augmentative and Alternative Communication Purposes

Perspectives on Augmentative and Alternative Communication ◽

10.1044/aac21.2.60 ◽

2012 ◽

Vol 21 (2) ◽

pp. 60-71 ◽

Cited By ~ 24

Author(s):

Ashley Alliano ◽

Kimberly Herriger ◽

Anthony D. Koutsoftas ◽

Theresa E. Bartolotta

Keyword(s):

Augmentative And Alternative Communication ◽

Cost Effective ◽

Alternative Form ◽

Alternative Communication ◽

Text To Speech ◽

Reference Guide ◽

Expressive Communication ◽

Communication Needs ◽

User Friendly ◽

Ipad Applications

Abstract Using the iPad tablet for Augmentative and Alternative Communication (AAC) purposes can facilitate many communicative needs, is cost-effective, and is socially acceptable. Many individuals with communication difficulties can use iPad applications (apps) to augment communication, provide an alternative form of communication, or target receptive and expressive language goals. In this paper, we will review a collection of iPad apps that can be used to address a variety of receptive and expressive communication needs. Based on recommendations from Gosnell, Costello, and Shane (2011), we describe the features of 21 apps that can serve as a reference guide for speech-language pathologists. We systematically identified 21 apps that use symbols only, symbols and text-to-speech, and text-to-speech only. We provide descriptions of the purpose of each app, along with the following feature descriptions: speech settings, representation, display, feedback features, rate enhancement, access, motor competencies, and cost. In this review, we describe these apps and how individuals with complex communication needs can use them for a variety of communication purposes and to target a variety of treatment goals. We present information in a user-friendly table format that clinicians can use as a reference guide.

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