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 211–220 of 1419 papers

TitleStatusHype
Making Social Platforms Accessible: Emotion-Aware Speech Generation with Integrated Text Analysis—0
Evaluating and Improving Automatic Speech Recognition Systems for Korean Meteorological Experts—0
STTATTS: Unified Speech-To-Text And Text-To-Speech ModelCode1
ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams—0
Continuous Speech Tokenizer in Text To SpeechCode0
Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap—0
Continuous Speech Synthesis using per-token Latent Diffusion—0
A Unified Framework for Collecting Text-to-Speech Synthesis Datasets for 22 Indian Languages—0
Multi-Source Spatial Knowledge Understanding for Immersive Visual Text-to-SpeechCode0
DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis—0
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