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 1001–1010 of 1419 papers

TitleStatusHype
Data Processing for Optimizing Naturalness of Vietnamese Text-to-speech System—0
Data Redaction from Conditional Generative Models—0
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack—0
Towards Selection of Text-to-speech Data to Augment ASR Training—0
Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis—0
Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models—0
Towards zero-shot Text-based voice editing using acoustic context conditioning, utterance embeddings, and reference encoders—0
Towards Zero-Shot Text-To-Speech for Arabic Dialects—0
Training Multi-Speaker Neural Text-to-Speech Systems using Speaker-Imbalanced Speech Corpora—0
Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems—0
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