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

Showing 561570 of 1419 papers

TitleStatusHype
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingCode1
VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture DesignCode2
Improving grapheme-to-phoneme conversion by learning pronunciations from speech recordings0
Multilingual context-based pronunciation learning for Text-to-Speech0
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech0
Improving TTS for Shanghainese: Addressing Tone Sandhi via Word SegmentationCode1
METTS: Multilingual Emotional Text-to-Speech by Cross-speaker and Cross-lingual Emotion Transfer0
ÌròyìnSpeech: A multi-purpose Yorùbá Speech CorpusCode1
Minimally-Supervised Speech Synthesis with Conditional Diffusion Model and Language Model: A Comparative Study of Semantic Coding0
SC VALL-E: Style-Controllable Zero-Shot Text to Speech SynthesizerCode1
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