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 231–240 of 1419 papers

TitleStatusHype
Unified Mandarin TTS Front-end Based on Distilled BERT ModelCode1
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph EntitiesCode1
Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple DomainsCode1
Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesisCode1
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph EntitiesCode1
StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive NormalizationCode1
IESTAC: English-Italian Parallel Corpus for End-to-End Speech-to-Text Machine TranslationCode1
Effective Deep Learning Models for Automatic Diacritization of Arabic TextCode1
One-class learning towards generalized voice spoofing detectionCode1
Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An OverviewCode1
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