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 1261–1270 of 1419 papers

TitleStatusHype
Neural Network-Based Modeling of Phonetic Durations—0
A Large-Scale User Study of an Alexa Prize Chatbot: Effect of TTS Dynamism on Perceived Quality of Social Dialog—0
Initial investigation of an encoder-decoder end-to-end TTS framework using marginalization of monotonic hard latent alignments—0
Neural Harmonic-plus-Noise Waveform Model with Trainable Maximum Voice Frequency for Text-to-Speech Synthesis—0
From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories—0
Numbers Normalisation in the Inflected Languages: a Case Study of PolishCode0
MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the BibleCode0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention—0
A Methodology for Controlling the Emotional Expressiveness in Synthetic Speech -- a Deep Learning approach—0
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