Search Results for author:
Found 5 papers, 1 papers with code
Using Large Pre-Trained Models with Cross-Modal Attention for Multi-Modal Emotion Recognition
We propose using large self-supervised pre-trained models for both audio and text modality with cross-modality attention for multimodal emotion recognition.
Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer
We use a phoneme decoder (PHN-DEC) for the phoneme recognition task and a grapheme decoder (GRP-DEC) to predict grapheme sequence.
A Dual-Decoder Conformer for Multilingual Speech Recognition
We jointly optimize the network for phoneme recognition, grapheme recognition, and language identification tasks with Joint CTC-Attention [2] training.
Multi-Modal Transformers Utterance-Level Code-Switching Detection
We propose a multi-modal learning approach by utilising the phoneme information along with audio features for code-switch detection.
Identification of Indian Languages using Ghost-VLAD pooling
The generated feature vector is shown to have very good language discriminative features and helps in getting state of the art results for language identification task.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
