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 1326–1350 of 1419 papers

TitleStatusHype
Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis—0
Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis—0
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder—0
Multi-scale Alignment and Contextual History for Attention Mechanism in Sequence-to-sequence Model—0
ClariNet: Parallel Wave Generation in End-to-End Text-to-SpeechCode1
Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages—0
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech SynthesisCode0
Voice Imitating Text-to-Speech Neural Networks—0
Voice Builder: A Tool for Building Text-To-Speech Voices—0
Building Open Javanese and Sundanese Corpora for Multilingual Text-to-Speech—0
Speaker-independent raw waveform model for glottal excitation—0
Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language TextCode1
Machine Speech Chain with One-shot Speaker Adaptation—0
Speech to text and text to speech recognition systems-Areview—0
Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data—0
Deep Feed-forward Sequential Memory Networks for Speech Synthesis—0
Efficient Neural Audio SynthesisCode2
Fitting New Speakers Based on a Short Untranscribed Sample—0
Tools and resources for Romanian text-to-speech and speech-to-text applicationsCode0
An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer—0
HybridNet: A Hybrid Neural Architecture to Speed-up Autoregressive Models—0
Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform—0
ObamaNet: Photo-realistic lip-sync from textCode0
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided AttentionCode1
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence LearningCode0
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