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

Showing 121130 of 1419 papers

TitleStatusHype
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech UnderstandingCode1
Evaluating Speech Synthesis by Training Recognizers on Synthetic SpeechCode1
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech SystemsCode1
FastPitchFormant: Source-filter based Decomposed Modeling for Speech SynthesisCode1
Emotion-Aware Prosodic Phrasing for Expressive Text-to-SpeechCode1
FastSpeech 2: Fast and High-Quality End-to-End Text to SpeechCode1
ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic FeaturesCode1
ÌròyìnSpeech: A multi-purpose Yorùbá Speech CorpusCode1
EMNS /Imz/ Corpus: An emotive single-speaker dataset for narrative storytelling in games, television and graphic novelsCode1
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer LearningCode1
Show:102550
← PrevPage 13 of 142Next →

No leaderboard results yet.