6 min read
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논문 리뷰와 공부하면서 적은 글을 모았습니다. 제목이나 주제로 찾아볼 수 있습니다.
6 min read
↗ 6 min read
↗ 11 min read
↗ 14 min read
↗ 17 min read
↗ 17 min read
↗ 16 min read
Speech & Audio
↗ RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing
RawBoost
4 min read
↗ 8 min read
Speech & Audio
↗ Aasist: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks
AASIST
11 min read
AI & Agents
↗ VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers
VALL-E 2
11 min read
AI & Agents
↗ VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment
VALL-E R
10 min read
AI & Agents
↗ Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling
VALL-E X
7 min read
Speech & Audio
↗ Natural language guidance of high-fidelity text-to-speech with synthetic annotations
Parler-TTS
5 min read
Speech & Audio
↗ Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech
TTS에서 probabilistic duration model이 효과적인 상황 탐구
10 min read
↗ 10 min read
↗ 13 min read
↗ 6 min read
Speech & Audio
↗ Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech
사람의 얼굴에 어울리는 목소리를 자동으로 만들어주는 디퓨전 기반 TTS 모델
8 min read
↗ 4 min read
Speech & Audio
↗ NN-KOG2P: A Novel Grapheme-To-Phoneme Model for Korean Language
한국어의 발음특성을 고려한 FFNN G2P 모델
7 min read
Speech & Audio
↗ Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Diffusion Probabilistic Model 기반 decoder를 사용한 TTS 모델
5 min read
Speech & Audio
↗ Label Embedding for Chinese Grapheme-to-Phoneme Conversion
contrastive learning을 활용한 중국어 G2P
8 min read
Speech & Audio
↗ Almost Unsupervised Text to Speech and Automatic Speech Recognition
Transformer로 TTS와 STT를 동시에 하는 방법
8 min read
Speech & Audio
↗ Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge
G2P 없이 Lexicon 만으로 TTS 발음 오류를 줄여보자
4 min read
Speech & Audio
↗ Multilingual grapheme-to-phoneme conversion with byte representation
byte로 다중 언어 G2P 성능을 높여보자
8 min read
Speech & Audio
↗ Unified Mandarin TTS Front-end Based on Distilled BERT Model
BERT에서 뽑아낸 feature로 중국어 TTS 전처리 과정 단순하게 만들기
6 min read
Speech & Audio
↗ A bi-directional LSTM approach for polyphone disambiguation in mandarin chinese
중국어 G2P를 위한 bi-directional LSTM
5 min read
Speech & Audio
↗ Sequence-to-sequence neural net models for grapheme-to-phoneme conversion
Seq2Seq 기반 G2P
5 min read
Speech & Audio
↗ Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks
G2P에 LSTM을 처음 적용한 논문
3 min read
↗ 9 min read
Speech & Audio
↗ Style Tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
style embedding을 통해 Tacotron으로 합성한 음성의 스타일을 조절해보자
7 min read
↗ 7 min read
Speech & Audio
↗ LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech
MBNet에서 단점을 파악하고 개선해보자
7 min read
Speech & Audio
↗ MBNet: MOS Prediction for Synthesized Speech with Mean-Bias Network
평가자 정보를 활용해 더 정확하게 MOS를 예측해보자
5 min read
Speech & Audio
↗ FastPitchFormant: Source-Filter Based Decomposed Modeling for Speech Synthesis
FastPitch에 source-filter 이론을 접목시켰다
5 min read
Speech & Audio
↗ FastPitch: Parallel text-to-speech with pitch prediction
FastSpeech2와 거의 동시에 나온 FastSpeech 후속 버전
9 min read
Speech & Audio
↗ Meta-StyleSpeech: Multi-Speaker Adaptive Text-to-Speech Generation
TTS에 meta learning 적용하기
7 min read
Speech & Audio
↗ HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
GAN 기반 보코더의 한계를 극복
6 min read
Speech & Audio
↗ Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Parallel Tacotron + duration model
8 min read
Speech & Audio
↗ Parallel Tacotron: Non-autoregressive and controllable TTS
Non Autoregressive Tacotron + VAE
7 min read
Speech & Audio
↗ AdaSpeech 3: Adaptive text to speech for spontaneous style
AdaSpeech를 자연스러운 발화가 가능하도록 만들어보자
6 min read
Speech & Audio
↗ AdaSpeech 2: Adaptive text to speech with untranscribed data
AdaSpeech에서 전사가 안된 데이터를 활용해서 TTS를 할 수 있게 만들어보자
9 min read
↗ 7 min read
Speech & Audio
↗ Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis
스펙트로그램 없이 end-to-end TTS 하기
8 min read
Speech & Audio
↗ Glow-TTS: A generative flow for text-to-speech via monotonic alignment search
Flow 기반의 TTS 모델
4 min read
Speech & Audio
↗ Melgan: Generative adversarial networks for conditional waveform synthesis
GAN 기반의 빠르고 효율적인 보코더
4 min read
Speech & Audio
↗ Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
GAN loss와 새로운 loss를 결합하여 TTS를 하는 모델
5 min read
↗ 5 min read
Speech & Audio
↗ FastSpeech 2: Fast and high-quality end-to-end text to speech
FastSpeech에서 teacher forcing을 제거한 모델
6 min read
Speech & Audio
↗ FastSpeech: Fast, robust and controllable text to speech
Transformer 기반의 빠르고 조절 가능한 TTS 모델
2 min read
↗ 5 min read
Time Series
↗ Informer: Beyond Efficient Transformer for Long Sequence Time-Series
긴 시계열 예측에 특화된 트랜스포머 모델
3 min read
Time Series
↗ Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
비정상성을 가진 시계열 데이터를 위한 새로운 Loss function 제안
4 min read
↗ 5 min read
↗ 5 min read
Time Series
↗ N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting
오직 딥러닝 아키텍처만을 이용한 TS모델
5 min read
Time Series
↗ Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
트랜스포머를 활용한 multi-horizon time-series 예측
4 min read
↗ 4 min read
↗ 7 min read
Speech & Audio
↗ Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
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