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Found 7 papers, 4 papers with code
Skipformer: A Skip-and-Recover Strategy for Efficient Speech Recognition
Conformer-based attention models have become the de facto backbone model for Automatic Speech Recognition tasks.
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models including Large Language Model.
How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning
noise terms into the conversation process, thereby constructing a structural causal model (SCM).
Multi-Dimensional and Multi-Scale Modeling for Speech Separation Optimized by Discriminative Learning
Specifically, we design a new network SE-Conformer that can model audio sequences in multiple dimensions and scales, and apply it to the dual-path speech separation framework.
A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments
In noisy and reverberant environments, the performance of deep learning-based speech separation methods drops dramatically because previous methods are not designed and optimized for such situations.
Speech Emotion Recognition with Global-Aware Fusion on Multi-scale Feature Representation
Speech Emotion Recognition (SER) is a fundamental task to predict the emotion label from speech data.
SQLFlow: A Bridge between SQL and Machine Learning
Previous database systems extended their SQL dialect to support ML.
