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1. ERISHA ERISHA Public

   ERISHA is a mulitilingual multispeaker expressive speech synthesis framework. It can transfer the expressivity to the speaker's voice for which no expressive speech corpus is available.

   Python 43 18

2. TED-Multilingual-Parallel-Corpus TED-Multilingual-Parallel-Corpus Public

   TED parallel Corpora is growing collection of Bilingual parallel corpora, Multilingual parallel corpora and Monolingual corpora extracted from TED talks www.ted.com for 109 world languages.

   245 81

3. Audio-Book-Corpus-for-European-Languages- Audio-Book-Corpus-for-European-Languages- Public

   Audio Book Corpus (ABC) project has been developed to aid linguist researchers in the field of text to speech for purely academic purposes. In the current form, the corpus consists approximately 20…

   Jupyter Notebook 3 1

4. How-I-Extracted-TED-talks-for-parallel-Corpus- How-I-Extracted-TED-talks-for-parallel-Corpus- Public

   Jupyter Notebook 34 22

5. RNN_Machine_Transliteration- RNN_Machine_Transliteration- Public

   Jupyter Notebook 5