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 751–760 of 1419 papers

TitleStatusHype
A Comparative Analysis of Pretrained Language Models for Text-to-Speech—0
A Context-Based Numerical Format Prediction for a Text-To-Speech System—0
A Corpus of Neutral Voice Speech in Brazilian Portuguese—0
A Cost Efficient Approach to Correct OCR Errors in Large Document Collections—0
Acquiring Pronunciation Knowledge from Transcribed Speech Audio via Multi-task Learning—0
A Cyclical Approach to Synthetic and Natural Speech Mismatch Refinement of Neural Post-filter for Low-cost Text-to-speech System—0
AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN—0
Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data—0
Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers—0
Adapting TTS models For New Speakers using Transfer Learning—0
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