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 1101–1110 of 1419 papers

TitleStatusHype
Fine-grained Style Modeling, Transfer and Prediction in Text-to-Speech Synthesis via Phone-Level Content-Style Disentanglement—0
Naturalization of Text by the Insertion of Pauses and Filler WordsCode0
Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis—0
Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesisCode1
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph EntitiesCode1
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework—0
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech—0
Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time—0
StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive NormalizationCode1
Training Wake Word Detection with Synthesized Speech Data on Confusion Words—0
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