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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 361–370 of 1419 papers

TitleStatusHype
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model—0
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy—0
Benchmarking Expressive Japanese Character Text-to-Speech with VITS and Style-BERT-VITS2—0
LAraBench: Benchmarking Arabic AI with Large Language Models—0
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis—0
Empowering Communication: Speech Technology for Indian and Western Accents through AI-powered Speech Synthesis—0
DisfluencySpeech -- Single-Speaker Conversational Speech Dataset with Paralanguage—0
Advances in Speech Vocoding for Text-to-Speech with Continuous Parameters—0
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing—0
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data—0
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