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 941950 of 1419 papers

TitleStatusHype
Transformer-based Models of Text Normalization for Speech Applications0
Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis0
Triple M: A Practical Text-to-speech Synthesis System With Multi-guidance Attention And Multi-band Multi-time LPCNet0
TTS-by-TTS 2: Data-selective augmentation for neural speech synthesis using ranking support vector machine with variational autoencoder0
TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems0
TTS for Low Resource Languages: A Bangla Synthesizer0
TTS-Guided Training for Accent Conversion Without Parallel Data0
TTSlow: Slow Down Text-to-Speech with Efficiency Robustness Evaluations0
TTS-Transducer: End-to-End Speech Synthesis with Neural Transducer0
UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow Matching0
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