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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–750 of 1419 papers

TitleStatusHype
RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech SynthesisCode1
Probing Deep Speaker Embeddings for Speaker-related Tasks—0
BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithmCode1
MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis DatasetCode1
SpeechLMScore: Evaluating speech generation using speech language modelCode1
Learning to Dub Movies via Hierarchical Prosody ModelsCode1
Analysis and Utilization of Entrainment on Acoustic and Emotion Features in User-agent Dialogue—0
Low-Resource End-to-end Sanskrit TTS using Tacotron2, WaveGlow and Transfer Learning—0
SNAC: Speaker-normalized affine coupling layer in flow-based architecture for zero-shot multi-speaker text-to-speech—0
Controllable speech synthesis by learning discrete phoneme-level prosodic representations—0
Evaluating and reducing the distance between synthetic and real speech distributions—0
Contextual Expressive Text-to-Speech—0
Efficient Incremental Text-to-Speech on GPUs—0
IMaSC -- ICFOSS Malayalam Speech Corpus—0
PromptTTS: Controllable Text-to-Speech with Text DescriptionsCode0
Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models—0
Towards Building Text-To-Speech Systems for the Next Billion UsersCode2
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance—0
Back-Translation-Style Data Augmentation for Mandarin Chinese Polyphone Disambiguation—0
SNIPER Training: Single-Shot Sparse Training for Text-to-Speech—0
OverFlow: Putting flows on top of neural transducers for better TTSCode1
Semi-supervised learning for continuous emotional intensity controllable speech synthesis with disentangled representations—0
Accented Text-to-Speech Synthesis with a Conditional Variational AutoencoderCode1
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-SpeechCode6
An Empirical Study on L2 Accents of Cross-lingual Text-to-Speech Systems via Vowel Space—0
Parallel Attention Forcing for Machine Translation—0
Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech—0
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages—0
Investigating Content-Aware Neural Text-To-Speech MOS Prediction Using Prosodic and Linguistic Features—0
Generating Multilingual Gender-Ambiguous Text-to-Speech Voices—0
Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers—0
Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection—0
Structured State Space Decoder for Speech Recognition and Synthesis—0
Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation—0
Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier TransformCode2
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis—0
Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation—0
Towards zero-shot Text-based voice editing using acoustic context conditioning, utterance embeddings, and reference encoders—0
FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech SynthesisCode1
Explicit Intensity Control for Accented Text-to-speech—0
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech—0
Improving Speech-to-Speech Translation Through Unlabeled Text—0
Semi-Supervised Learning Based on Reference Model for Low-resource TTS—0
Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data—0
Efficiently Trained Low-Resource Mongolian Text-to-Speech System Based On FullConv-TTS—0
HiFi-WaveGAN: Generative Adversarial Network with Auxiliary Spectrogram-Phase Loss for High-Fidelity Singing Voice GenerationCode1
Low-Resource Multilingual and Zero-Shot Multispeaker TTS—0
Adaptive re-calibration of channel-wise features for Adversarial Audio Classification—0
Towards Relation Extraction From SpeechCode1
Generating Synthetic Speech from SpokenVocab for Speech TranslationCode0
Show:102550
← PrevPage 15 of 29Next →

No leaderboard results yet.