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 711–720 of 1419 papers

TitleStatusHype
Polyphone disambiguation and accent prediction using pre-trained language models in Japanese TTS front-end—0
Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features—0
Positional Description for Numerical Normalization—0
Pre-Avatar: An Automatic Presentation Generation Framework Leveraging Talking Avatar—0
PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction—0
Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis—0
Preference Alignment Improves Language Model-Based TTS—0
Prior-agnostic Multi-scale Contrastive Text-Audio Pre-training for Parallelized TTS Frontend Modeling—0
Probing Deep Speaker Embeddings for Speaker-related Tasks—0
Probing Speaker-specific Features in Speaker Representations—0
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