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 671–680 of 1419 papers

TitleStatusHype
CrossSpeech: Speaker-independent Acoustic Representation for Cross-lingual Speech Synthesis—0
Duration-aware pause insertion using pre-trained language model for multi-speaker text-to-speech—0
Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow—0
Imaginary Voice: Face-styled Diffusion Model for Text-to-SpeechCode1
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTSCode2
Emphasizing Unseen Words: New Vocabulary Acquisition for End-to-End Speech Recognition—0
Fast and small footprint Hybrid HMM-HiFiGAN based system for speech synthesis in Indian languages—0
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous SpeechCode2
MAC: A unified framework boosting low resource automatic speech recognition—0
Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text PretrainingCode1
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