SOTAVerified

Text to Speech

import gTTS import os def text_to_speech_kurdish(text, output_file="output.mp3"): # گۆڕینی نووسین بۆ دەنگ بە زمانی کوردی (هەڵبژاردنی زمانی "ku" بۆ کوردی) tts = gTTS(text=text, lang='ku', slow=False) tts.save(output_file) os.system(f"start {output_file}") # کردنەوەی فایلە دەنگییەکە (لە Windows) # نموونە: text_to_speech_kurdish("سڵاو، ئەمە دەنگی منە بە زمانی کوردی.")

Papers

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Showing 881–890 of 1419 papers

TitleStatusHype
When Is TTS Augmentation Through a Pivot Language Useful?Code0
SATTS: Speaker Attractor Text to Speech, Learning to Speak by Learning to Separate—0
A Cyclical Approach to Synthetic and Natural Speech Mismatch Refinement of Neural Post-filter for Low-cost Text-to-speech System—0
Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS—0
End-to-end speech recognition modeling from de-identified data—0
Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition—0
LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech—0
Mix and Match: An Empirical Study on Training Corpus Composition for Polyglot Text-To-Speech (TTS)—0
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model—0
Unify and Conquer: How Phonetic Feature Representation Affects Polyglot Text-To-Speech (TTS)—0
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