6 citations · 8 across the 6 of their papers we have counts for
6 papers
DualTurn: Learning Turn-Taking from Dual-Channel Generative Speech Pretraining
Shangeth Rajaa
Speech-to-speech models handle turn-taking naturally but offer limited support for tool-calling or complex reasoning, while production ASR-LLM-TTS voice pipelines offer these capab…
Improving End-to-End SLU performance with Prosodic Attention and Distillation
Shangeth Rajaa
Most End-to-End SLU methods depend on the pretrained ASR or language model features for intent prediction. However, other essential information in speech, such as prosody, is often…
Improving Spoken Language Identification with Map-Mix
Shangeth Rajaa, Kriti Anandan, Swaraj Dalmia +2
The pre-trained multi-lingual XLSR model generalizes well for language identification after fine-tuning on unseen languages. However, the performance significantly degrades when th…
Skit-S2I: An Indian Accented Speech to Intent dataset
Shangeth Rajaa, Swaraj Dalmia, Kumarmanas Nethil
Conventional conversation assistants extract text transcripts from the speech signal using automatic speech recognition (ASR) and then predict intent from the transcriptions. Using…
Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
Shangeth Rajaa, Pham Van Tung, Chng Eng Siong
Speaker profiling, which aims to estimate speaker characteristics such as age and height, has a wide range of applications inforensics, recommendation systems, etc. In this work, w…
Convolutional Feature Extraction and Neural Arithmetic Logic Units for Stock Prediction
Shangeth Rajaa, Jajati Keshari Sahoo
Stock prediction is a topic undergoing intense study for many years. Finance experts and mathematicians have been working on a way to predict the future stock price so as to decide…