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Wav2vec2 Xl 960h Dementiabank
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Wav2vec2 Xl 960h Dementiabank

Developed by shields
This model is a speech recognition model fine-tuned on the DementiaBank dataset based on facebook/wav2vec2-large-960h, primarily used for speech-to-text tasks.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Speech Recognition#Medical Speech Analysis#High-precision WER
Downloads 20
Release Time : 3/2/2022

Model Overview

This is a speech recognition model based on the wav2vec2 architecture, which may be particularly suitable for speech recognition scenarios involving Alzheimer's patients after fine-tuning.

Model Features

High-precision Speech Recognition
Based on the wav2vec2-xl architecture, providing high-quality speech-to-text capabilities
Domain-specific Fine-tuning
Fine-tuned on the DementiaBank dataset, potentially better suited for recognizing speech characteristics of Alzheimer's patients
Pre-trained Foundation
Based on the facebook/wav2vec2-large-960h pre-trained model, with powerful speech understanding capabilities

Model Capabilities

English Speech Recognition
Speech-to-text
Specific Population Speech Recognition

Use Cases

Healthcare
Alzheimer's Patient Speech Analysis
Used to identify and analyze speech characteristics of Alzheimer's patients
Speech Transcription
Medical Interview Transcription
Automatically transcribes doctor-patient conversations into text
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