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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 181–190 of 1419 papers

TitleStatusHype
Multimodal Latent Language Modeling with Next-Token DiffusionCode0
LatentSpeech: Latent Diffusion for Text-To-Speech Generation—0
A Unified Model For Voice and Accent Conversion In Speech and Singing using Self-Supervised Learning and Feature Extraction—0
Aligner-Guided Training Paradigm: Advancing Text-to-Speech Models with Aligner Guided Duration—0
Towards Controllable Speech Synthesis in the Era of Large Language Models: A SurveyCode3
EmoSpeech: A Corpus of Emotionally Rich and Contextually Detailed Speech Annotations—0
DiffStyleTTS: Diffusion-based Hierarchical Prosody Modeling for Text-to-Speech with Diverse and Controllable Styles—0
GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken ChatbotCode7
Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor—0
SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation—0
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