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 281–290 of 1419 papers

TitleStatusHype
LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization—0
Streaming Non-Autoregressive Model for Accent Conversion and Pronunciation Improvement—0
Optimizing Multilingual Text-To-Speech with Accents & Emotions—0
PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction—0
EmoNews: A Spoken Dialogue System for Expressive News ConversationsCode0
Phonikud: Hebrew Grapheme-to-Phoneme Conversion for Real-Time Text-to-Speech—0
StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling—0
Scheduled Interleaved Speech-Text Training for Speech-to-Speech Translation with LLMs—0
S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Streaming Speech Generation—0
UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow Matching—0
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