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 531–540 of 1419 papers

TitleStatusHype
DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis—0
Duration-aware pause insertion using pre-trained language model for multi-speaker text-to-speech—0
DubWise: Video-Guided Speech Duration Control in Multimodal LLM-based Text-to-Speech for Dubbing—0
Advancing NAM-to-Speech Conversion with Novel Methods and the MultiNAM Dataset—0
Dual Supervised Learning—0
DualSpeech: Enhancing Speaker-Fidelity and Text-Intelligibility Through Dual Classifier-Free Guidance—0
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model—0
Dual Script E2E framework for Multilingual and Code-Switching ASR—0
Dual Audio-Centric Modality Coupling for Talking Head Generation—0
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy—0
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