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Found 4 papers, 1 papers with code
Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classification
In particular, we use synthesized speech generated from an English-Mandarin text corpus for analysis and training of a multi-lingual intent classification model.
Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification
In this regard, we leverage the reliable and widely used bidirectional encoder representations from transformers (BERT) model as a language model and transfer the knowledge to build an acoustic model for intent classification using the speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+7
Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification
An intent classification system is usually implemented as a pipeline process, with a speech recognition module followed by text processing that classifies the intents.
Speaker-Utterance Dual Attention for Speaker and Utterance Verification
The proposed SUDA features an attention mask mechanism to learn the interaction between the speaker and utterance information streams.
