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 871–880 of 1419 papers

TitleStatusHype
Effectiveness of text to speech pseudo labels for forced alignment and cross lingual pretrained models for low resource speech recognition—0
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech—0
End to End Lip Synchronization with a Temporal AutoEncoderCode1
Does Audio Deepfake Detection Generalize?—0
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech RecognitionCode1
Nix-TTS: Lightweight and End-to-End Text-to-Speech via Module-wise DistillationCode2
Applying Syntaxx2013Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis—0
Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus—0
STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent—0
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge—0
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