Search Results for author:
Found 6 papers, 2 papers with code
Neural network-based virtual microphone estimation with virtual microphone and beamformer-level multi-task loss
However, this training objective may not be optimal for a specific array processing back-end, such as beamforming.
Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features
Although there is a method to improve ASR performance in the presence of emotional speech, it requires the fine-tuning of ASR, which has a high computational cost and leads to the loss of cues important for determining the presence of emotion in speech segments, which can be helpful in SER.
Ranked #4 on
Multimodal Emotion Recognition
on IEMOCAP
Multimodal Emotion Recognition
Speech Emotion Recognition
+2
Permuton-induced Chinese Restaurant Process
Our main contribution is to introduce the notion of permutons into the well-known Chinese restaurant process (CRP) for sequence partitioning: a permuton is a probability measure on $[0, 1]\times [0, 1]$ and can be regarded as a geometric interpretation of the scaling limit of permutations.
Baxter Permutation Process
Compared with conventional BNP models for arbitrary RPs, the proposed model is simpler and has a high affinity with Bayesian inference.
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
We propose a kernel-based method for finding matching between instances across different domains, such as multilingual documents and images with annotations.
Modeling Social Annotation Data with Content Relevance using a Topic Model
We propose a probabilistic topic model for analyzing and extracting content-related annotations from noisy annotated discrete data such as web pages stored in social bookmarking services.
