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 1181–1190 of 1419 papers

TitleStatusHype
Unsupervised Learning For Sequence-to-sequence Text-to-speech For Low-resource Languages—0
Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems—0
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition—0
Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes—0
Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning—0
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability—0
A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep Architecture—0
Normalizing Text using Language Modelling based on Phonetics and String Similarity—0
Generic Indic Text-to-speech Synthesisers with Rapid Adaptation in an End-to-end Framework—0
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised LearningCode0
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