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 1331–1340 of 1419 papers

TitleStatusHype
DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech—0
AutoTTS: End-to-End Text-to-Speech Synthesis through Differentiable Duration Modeling—0
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs—0
DiffStyleTTS: Diffusion-based Hierarchical Prosody Modeling for Text-to-Speech with Diverse and Controllable Styles—0
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech—0
DiffVoice: Text-to-Speech with Latent Diffusion—0
Digital Einstein Experience: Fast Text-to-Speech for Conversational AI—0
Direct Speech to Speech Translation: A Review—0
Direct Text to Speech Translation System using Acoustic Units—0
Disambiguation of Chinese Polyphones in an End-to-End Framework with Semantic Features Extracted by Pre-trained BERT—0
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