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 741–750 of 1419 papers

TitleStatusHype
RDSinger: Reference-based Diffusion Network for Singing Voice Synthesis—0
Reading Assistance through LARA, the Learning And Reading Assistant—0
Real-Time Pill Identification for the Visually Impaired Using Deep Learning—0
ReCAB-VAE: Gumbel-Softmax Variational Inference Based on Analytic Divergence—0
Referee: Towards reference-free cross-speaker style transfer with low-quality data for expressive speech synthesis—0
Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images—0
Regotron: Regularizing the Tacotron2 architecture via monotonic alignment loss—0
Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech—0
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability—0
DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Models—0
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