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 681–690 of 1419 papers

TitleStatusHype
Improving LPCNet-based Text-to-Speech with Linear Prediction-structured Mixture Density Network—0
Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information—0
Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows—0
Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising—0
Improving Performance of End-to-End ASR on Numeric Sequences—0
Improving prosodic phrasing of Vietnamese text-to-speech systems—0
Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis—0
Improving Readability for Automatic Speech Recognition Transcription—0
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems—0
Generating Rich Product Descriptions for Conversational E-commerce Systems—0
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