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Wav2vec2 Large Xlsr 53 Finnish

Developed by Tommi
A Finnish automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampled audio input.
Downloads 28
Release Time : 3/2/2022

Model Overview

This is an optimized automatic speech recognition (ASR) model for Finnish, based on the XLSR-53 architecture, fine-tuned on datasets including Common Voice, CSS10, and Finnish parliamentary session records.

Model Features

Multi-dataset fine-tuning
Trained on three datasets (Common Voice, CSS10, and Finnish parliamentary records) to enhance model adaptability
No language model required
Can be used directly for speech recognition without additional language model support
16kHz sampling rate support
Optimized for 16kHz sampled audio input

Model Capabilities

Finnish speech recognition
Audio-to-text conversion
Speech content analysis

Use Cases

Speech transcription
Automatic meeting minutes transcription
Convert speech content from formal settings like Finnish parliamentary sessions into text
Voice memo conversion
Transform personal voice memos into editable text
Voice assistants
Finnish voice command recognition
Provide core recognition capabilities for Finnish voice assistants
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