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

Showing 211220 of 1419 papers

TitleStatusHype
FastPitchFormant: Source-filter based Decomposed Modeling for Speech SynthesisCode1
Emotion-Aware Prosodic Phrasing for Expressive Text-to-SpeechCode1
EMNS /Imz/ Corpus: An emotive single-speaker dataset for narrative storytelling in games, television and graphic novelsCode1
OverFlow: Putting flows on top of neural transducers for better TTSCode1
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to SpeechCode1
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided AttentionCode1
EfficientSpeech: An On-Device Text to Speech ModelCode1
Building African VoicesCode1
Effective Deep Learning Models for Automatic Diacritization of Arabic TextCode1
End-to-End Adversarial Text-to-SpeechCode1
Show:102550
← PrevPage 22 of 142Next →

No leaderboard results yet.