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 951–975 of 1419 papers

TitleStatusHype
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation—0
SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis—0
Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck—0
Deliberation Model for On-Device Spoken Language Understanding—0
VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature—0
Text-To-Speech Data Augmentation for Low Resource Speech Recognition—0
AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios—0
WavThruVec: Latent speech representation as intermediate features for neural speech synthesis—0
Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset—0
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech—0
Effectiveness of text to speech pseudo labels for forced alignment and cross lingual pretrained models for low resource speech recognition—0
Does Audio Deepfake Detection Generalize?—0
Applying Syntaxx2013Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis—0
Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus—0
STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent—0
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge—0
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis—0
AutoTTS: End-to-End Text-to-Speech Synthesis through Differentiable Duration Modeling—0
ECAPA-TDNN for Multi-speaker Text-to-speech SynthesisCode0
Vocal effort modeling in neural TTS for improving the intelligibility of synthetic speech in noise—0
Improve few-shot voice cloning using multi-modal learning—0
Text-free non-parallel many-to-many voice conversion using normalising flows—0
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features—0
Revisiting Over-Smoothness in Text to Speech—0
Human Detection of Political Speech Deepfakes across Transcripts, Audio, and Video—0
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