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Found 7 papers, 2 papers with code
Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow
Also, the objective function of NF makes the model use the variance information and the text in a disentangled manner resulting in more precise variance control.
Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text
Then, the attention weights of each modality are applied directly to the other modality in a crossed way, so that the CAN gathers the audio and text information from the same time steps based on each modality.
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
In this paper, we conduct an in-depth analysis of the two modes of ISGD for smooth convex functions, namely proximal Robbins-Monro (proxRM) and proximal Poylak-Ruppert (proxPR) procedures, for their use in statistical inference on model parameters.
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech
Although early text-to-speech (TTS) models such as Tacotron 2 have succeeded in generating human-like speech, their autoregressive (AR) architectures have a limitation that they require a lot of time to generate a mel-spectrogram consisting of hundreds of steps.
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
Even though BERT achieves successful performance improvements in various supervised learning tasks, applying BERT for unsupervised tasks still holds a limitation that it requires repetitive inference for computing contextual language representations.
MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis
This paper describes our system for SemEval-2019 Task 3: EmoContext, which aims to predict the emotion of the third utterance considering two preceding utterances in a dialogue.
Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition
Recent studies have tried to use bidirectional LMs (biLMs) instead of conventional unidirectional LMs (uniLMs) for rescoring the $N$-best list decoded from the acoustic model.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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