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 1071–1080 of 1419 papers

TitleStatusHype
ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer—0
Vocal effort modeling in neural TTS for improving the intelligibility of synthetic speech in noise—0
VocalEyes: Enhancing Environmental Perception for the Visually Impaired through Vision-Language Models and Distance-Aware Object Detection—0
Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network—0
Voice Builder: A Tool for Building Text-To-Speech Voices—0
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning—0
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer—0
Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module—0
Voice Imitating Text-to-Speech Neural Networks—0
VoiceLDM: Text-to-Speech with Environmental Context—0
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