Open-Source Consumer-Grade Indic Text To Speech

2016 ◽  
Author(s):  
Andrew Wilkinson ◽  
Alok Parlikar ◽  
Sunayana Sitaram ◽  
Tim White ◽  
Alan W. Black ◽  
...  
Keyword(s):  
Open Source ◽  
Text To Speech

WikiSpeech – enabling open source text-to-speech for Wikipedia

2016 ◽  
Author(s):  
John Andersson ◽  
Sebastian Berlin ◽  
André Costa ◽  
Harald Berthelsen ◽  
Hanna Lindgren ◽  
...  
Keyword(s):  
Open Source ◽  
Text To Speech ◽  
Source Text

scholarly journals KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset

2021 ◽  
Author(s):  
Saida Mussakhojayeva ◽  
Aigerim Janaliyeva ◽  
Almas Mirzakhmetov ◽  
Yerbolat Khassanov ◽  
Huseyin Atakan Varol
Keyword(s):  
Open Source ◽  
Speech Synthesis ◽  
Text To Speech ◽  
Text To Speech Synthesis

An Open Source HMM-based Text-to-Speech System for Brazilian Portuguese

2010 ◽  
Author(s):  
Igor Couto ◽  
Aldebaro Klautau ◽  
Ranniery Maia ◽  
Nelson Neto ◽  
Vincent Tadaiesky
Keyword(s):  
Open Source ◽  
Brazilian Portuguese ◽  
Text To Speech

scholarly journals Deep Learning Based TTS-STT Model with Transliteration for Indic Languages

2021 ◽  
Vol 9 (12) ◽  
pp. 2207-2213
Author(s):  
Kartik Tiwari
Keyword(s):  
Open Source ◽  
Speech Processing ◽  
High Performance ◽  
Translation System ◽  
Data Sets ◽  
Text To Speech ◽  
Strong Focus ◽  
End To End ◽  
Translation Methods ◽  
Speech Presentation

Abstract: This paper introduces a new text-to-speech presentation from end-to-end (E2E-TTS) using toolkit called ESPnet-TTS, which is an open source extension. ESPnet speech processing tools kit. Various models come under ESPnet TTS TacoTron 2, Transformer TTS, and Fast Speech. This also provides recipes recommended by the Kaldi speech recognition tool kit (ASR). Recipes based on the composition combined with the ESPnet ASR recipe, which provides high performance. This toolkit also provides pre-trained models and samples of all recipes for users to use as a base .It works on TTS-STT and translation features for various indicator languages, with a strong focus on English, Marathi and Hindi. This paper also shows that neural sequence-to-sequence models find the state of the art or near the effects of the art state on existing databases. We also analyze some of the key design challenges that contribute to the development of a multilingual business translation system, which includes processing bilingual business data sets and evaluating multiple translation methods. The test result can be obtained using tokens and these test results show that our models can achieve modern performance compared to the latest LJ Speech tool kit data. Terms of Reference — Open source, end-to-end, text-to-speech

scholarly journals Assessing the quality of TTS audio in the LARA learning-by-reading platform

2021 ◽  
pp. 1-5
Author(s):  
Elham Akhlaghi ◽  
Anna Bączkowska ◽  
Harald Berthelsen ◽  
Branislav Bédi ◽  
Cathy Chua ◽  
...  
Keyword(s):  
Language Learning ◽  
Open Source ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Text To Speech ◽  
Human Voice ◽  
L2 Learning ◽  
Learning By Reading

A popular idea in Computer Assisted Language Learning (CALL) is to use multimodal annotated texts, with annotations typically including embedded audio and translations, to support L2 learning through reading. An important question is how to create the audio, which can be done either through human recording or by a Text-To-Speech (TTS) synthesis engine. We may reasonably expect TTS to be quicker and easier, but humans to be of higher quality. Here, we report a study using the open-source LARA platform and ten languages. Samples of LARA audio totaling about three and a half minutes were provided for each language in both human and TTS form; subjects used a web form to compare different versions of the same item and rate the voices as a whole. Although human voice was more often preferred, TTS achieved higher ratings in some languages and was close in others.

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

2012 ◽  
Vol 21 (2) ◽  
pp. 60-71 ◽  
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.

Open Source

2007 ◽  
Author(s):  
Fadi P. Deek ◽  
James A. M. McHugh
Keyword(s):  
Open Source
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