π Paper Review π
Speech Recognition Β· NLP Β· Speech Synthesis
Papers
- [2014/11] Voice Recognition Using MFCC Algorithm
- [2014/12] Deep Speech: Scaling up end-to-end speech recognition
- [2015/06] Attention-Based Models for Speech-Recognition
- [2015/08] Listen, Attend and Spell
- [2017/03] A Structured Self-attentive Sentence Embedding
- [2017/07] Attention Is All You Need
- [2017/12] State-of-the-art Speech Recognition With Sequence-to-Sequence Models
- [2017/12] An Analsis Of Incorporating An External Language Model Into A Sequence-to-Sequence Model
- [2019/02] Model Unit Exploration for Sequence-to-Sequence Speech Recognition
- [2019/04] SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
- [2019/06] Weakly Labeled Corpusλ₯Ό μ΄μ©ν νκ΅μ΄ μ€μκ° μλ μ μ¬ μμ€ν
- [2020/12] Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework
- [2020/04] ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for ASR of Contact Centers
- [2020/06] Wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
- [2020/08] One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech.
- [2020/10] Adaptive Feature Selection for End-to-End Speech Translation