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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Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy—0
Pre-Avatar: An Automatic Presentation Generation Framework Leveraging Talking Avatar—0
SQuId: Measuring Speech Naturalness in Many Languages—0
Adversarial Speaker-Consistency Learning Using Untranscribed Speech Data for Zero-Shot Multi-Speaker Text-to-Speech—0
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era—0
Unsupervised Multi-scale Expressive Speaking Style Modeling with Hierarchical Context Information for Audiobook Speech Synthesis—0
Facial Landmark Predictions with Applications to MetaverseCode0
Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech—0
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models—0
Controllable Accented Text-to-Speech Synthesis—0
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