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 451–460 of 1419 papers

TitleStatusHype
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis—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
Diacritization of Maghrebi Arabic Sub-Dialects—0
Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems—0
Emphasis control for parallel neural TTS—0
Building Open-source Speech Technology for Low-resource Minority Languages with SáMi as an Example – Tools, Methods and Experiments—0
Emphasized Accent Phrase Prediction from Text for Advertisement Text-To-Speech Synthesis—0
AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech—0
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