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 1401–1419 of 1419 papers

TitleStatusHype
End-to-End Text-to-Speech using Latent Duration based on VQ-VAE—0
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation—0
Enhancement of Pitch Controllability using Timbre-Preserving Pitch Augmentation in FastPitch—0
Enhancing audio quality for expressive Neural Text-to-Speech—0
Enhancing Crowdsourced Audio for Text-to-Speech Models—0
Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap—0
Enhancing Naturalness in LLM-Generated Utterances through Disfluency Insertion—0
Enhancing Speech-to-Speech Translation with Multiple TTS Targets—0
Enhancing Synthetic Training Data for Speech Commands: From ASR-Based Filtering to Domain Adaptation in SSL Latent Space—0
Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations—0
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback—0
Ensemble prosody prediction for expressive speech synthesis—0
Environment Aware Text-to-Speech Synthesis—0
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models—0
Error Annotation in Post-Editing Machine Translation: Investigating the Impact of Text-to-Speech Technology—0
ERVQ: Enhanced Residual Vector Quantization with Intra-and-Inter-Codebook Optimization for Neural Audio Codecs—0
ESPnet2-TTS: Extending the Edge of TTS Research—0
ESPnet-ST: All-in-One Speech Translation Toolkit—0
Evaluating and Improving Automatic Speech Recognition Systems for Korean Meteorological Experts—0
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