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 111120 of 1419 papers

TitleStatusHype
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech UnderstandingCode1
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited DataCode1
Improving fairness for spoken language understanding in atypical speech with Text-to-SpeechCode1
End-to-End Adversarial Text-to-SpeechCode1
Emotion-Aware Prosodic Phrasing for Expressive Text-to-SpeechCode1
Imaginary Voice: Face-styled Diffusion Model for Text-to-SpeechCode1
Improving TTS for Shanghainese: Addressing Tone Sandhi via Word SegmentationCode1
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer LearningCode1
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to SpeechCode1
ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic FeaturesCode1
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