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Found 5 papers, 4 papers with code
Improving End-to-End SLU performance with Prosodic Attention and Distillation
Most End-to-End SLU methods depend on the pretrained ASR or language model features for intent prediction.
Improving Spoken Language Identification with Map-Mix
The pre-trained multi-lingual XLSR model generalizes well for language identification after fine-tuning on unseen languages.
Skit-S2I: An Indian Accented Speech to Intent dataset
Conventional conversation assistants extract text transcripts from the speech signal using automatic speech recognition (ASR) and then predict intent from the transcriptions.
Ranked #1 on
Speech Intent Classification
on Skit-S2I
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
Speaker profiling, which aims to estimate speaker characteristics such as age and height, has a wide range of applications inforensics, recommendation systems, etc.
Convolutional Feature Extraction and Neural Arithmetic Logic Units for Stock Prediction
Stock prediction is a topic undergoing intense study for many years.
