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 141150 of 1419 papers

TitleStatusHype
EMNS /Imz/ Corpus: An emotive single-speaker dataset for narrative storytelling in games, television and graphic novelsCode1
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep LearningCode1
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to SpeechCode1
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation GenerationCode1
Mixer-TTS: non-autoregressive, fast and compact text-to-speech model conditioned on language model embeddingsCode1
Effective Deep Learning Models for Automatic Diacritization of Arabic TextCode1
EdiTTS: Score-based Editing for Controllable Text-to-SpeechCode1
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional FusionCode1
Accent Estimation of Japanese Words from Their Surfaces and Romanizations for Building Large Vocabulary Accent DictionariesCode1
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