speech-classification

Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".

Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"

Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch

It is a full-fetched web application.Based on sentiment classification, by using nltk library it predicts that a speech is how much toxic, sever toxic, insult, obscene, threat.

This repository contains the code for the INTERSPEECH2025 paper: "Speech and Text Foundation Models for Depression Detection: Cross-Task and Cross-Language Evaluation"

Speech Classification using Continuous Attention Mechanisms

Efficient few-shot audio classification with contrastive fine-tuning.

Code for audio-based autism spectrum disorder (ASD) classification using Transformer models, machine learning baselines, and SHAP analysis.

This repository contains code for all assignments in the Multimedia Computing and Applications (CSE563) course.

Detecting Speed and Tempo Alterations in Speech Recordings

RU directed speech classifier (ruElectra, synthetic ASR noise)

This project aims to perform Emotion Recognition in Speech using Deep Neural Networks (DNNs)

A multi-modal acoustic-aware fusion architecture for dysarthria detection and severity classification. Combines LoRA-adapted wav2vec 2.0 with classical MFCC features in a dual-pathway network, grounding foundation models in deterministic acoustic physics for clinical interpretability.

Fall 2021 Introduction to Deep Learning - Homework 3 Part 2 (RNN-based phoneme recognition)

Detects real vs. AI-generated (TTS) Khmer speech using a fine-tuned wav2vec2 model. Full data-to-demo pipeline with a Streamlit app.

Academic course project for spoken language identification across 22 Indian languages using W2V-BERT, PyTorch, and audio augmentation.