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 1361–1370 of 1419 papers

TitleStatusHype
DubWise: Video-Guided Speech Duration Control in Multimodal LLM-based Text-to-Speech for Dubbing—0
Duration-aware pause insertion using pre-trained language model for multi-speaker text-to-speech—0
DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis—0
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis—0
Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection—0
E1 TTS: Simple and Fast Non-Autoregressive TTS—0
E3 TTS: Easy End-to-End Diffusion-based Text to Speech—0
Easy, Interpretable, Effective: openSMILE for voice deepfake detection—0
Effective Decoder Masking for Transformer Based End-to-End Speech Recognition—0
Effectiveness of text to speech pseudo labels for forced alignment and cross lingual pretrained models for low resource speech recognition—0
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