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 511–520 of 1419 papers

TitleStatusHype
VoxHakka: A Dialectally Diverse Multi-speaker Text-to-Speech System for Taiwanese Hakka—0
A Framework for Synthetic Audio Conversations Generation using Large Language Models—0
A multilingual training strategy for low resource Text to Speech—0
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge—0
SelectTTS: Synthesizing Anyone's Voice via Discrete Unit-Based Frame Selection—0
Easy, Interpretable, Effective: openSMILE for voice deepfake detection—0
Multi-modal Adversarial Training for Zero-Shot Voice Cloning—0
StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-SpeechCode0
DualSpeech: Enhancing Speaker-Fidelity and Text-Intelligibility Through Dual Classifier-Free Guidance—0
SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models—0
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