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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 876–900 of 1419 papers

TitleStatusHype
Towards MOOCs for Lipreading: Using Synthetic Talking Heads to Train Humans in Lipreading at Scale—0
Speech Synthesis with Mixed Emotions—0
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis—0
Low-data? No problem: low-resource, language-agnostic conversational text-to-speech via F0-conditioned data augmentation—0
Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis—0
When Is TTS Augmentation Through a Pivot Language Useful?Code0
SATTS: Speaker Attractor Text to Speech, Learning to Speak by Learning to Separate—0
A Cyclical Approach to Synthetic and Natural Speech Mismatch Refinement of Neural Post-filter for Low-cost Text-to-speech System—0
Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS—0
End-to-end speech recognition modeling from de-identified data—0
Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition—0
LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech—0
Mix and Match: An Empirical Study on Training Corpus Composition for Polyglot Text-To-Speech (TTS)—0
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model—0
Unify and Conquer: How Phonetic Feature Representation Affects Polyglot Text-To-Speech (TTS)—0
Computer-assisted Pronunciation Training -- Speech synthesis is almost all you need—0
Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems—0
Fast Bilingual Grapheme-To-Phoneme Conversion—0
A Polyphone BERT for Polyphone Disambiguation in Mandarin Chinese—0
Automatic Evaluation of Speaker Similarity—0
TTS-by-TTS 2: Data-selective augmentation for neural speech synthesis using ranking support vector machine with variational autoencoder—0
R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS—0
Improving Deliberation by Text-Only and Semi-Supervised Training—0
Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody—0
Comparison of Speech Representations for the MOS Prediction System—0
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