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 161170 of 1419 papers

TitleStatusHype
EfficientSpeech: An On-Device Text to Speech ModelCode1
EMNS /Imz/ Corpus: An emotive single-speaker dataset for narrative storytelling in games, television and graphic novelsCode1
Parameter-Efficient Learning for Text-to-Speech Accent AdaptationCode1
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data AugmentationCode1
Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found DataCode1
Bts-e: Audio deepfake detection using breathing-talking-silence encoderCode1
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource LanguagesCode1
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text RepresentationsCode1
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech UnderstandingCode1
Imaginary Voice: Face-styled Diffusion Model for Text-to-SpeechCode1
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