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

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Showing 241–250 of 1419 papers

TitleStatusHype
Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration ModelingCode1
Accent Estimation of Japanese Words from Their Surfaces and Romanizations for Building Large Vocabulary Accent DictionariesCode1
Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style ConversionCode1
Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length EmbeddingCode1
Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording ConditionsCode1
Pretraining Techniques for Sequence-to-Sequence Voice ConversionCode1
Phonological Features for 0-shot Multilingual Speech SynthesisCode1
One Model, Many Languages: Meta-learning for Multilingual Text-to-SpeechCode1
FastPitch: Parallel Text-to-speech with Pitch PredictionCode1
FastSpeech 2: Fast and High-Quality End-to-End Text to SpeechCode1
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