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 1381–1390 of 1419 papers

TitleStatusHype
Emo-DPO: Controllable Emotional Speech Synthesis through Direct Preference Optimization—0
EmoSpeech: A Corpus of Emotionally Rich and Contextually Detailed Speech Annotations—0
EmoTalkingGaussian: Continuous Emotion-conditioned Talking Head Synthesis—0
Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions—0
Emotional Prosody Control for Speech Generation—0
Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition—0
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model—0
EmoVoice: LLM-based Emotional Text-To-Speech Model with Freestyle Text Prompting—0
Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems—0
Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems—0
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