Filipino - wav2vec2 - l - xls - r - 300m Open - source Speech Recognition Model, Accurately Recognize Filipino Speech

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Filipino Wav2vec2 L Xls R 300m Official

Developed by Khalsuu

A speech recognition model fine-tuned on Filipino speech datasets based on facebook/wav2vec2-xls-r-300m

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Filipino Speech Recognition #Low Word Error Rate #wav2vec2 Fine-tuning

Downloads 1.2M

Release Time : 5/13/2022

Model Overview

This model is a speech recognition model for Filipino, fine-tuned based on the wav2vec2-xls-r-300m architecture, capable of converting Filipino speech into text.

Model Features

Filipino Optimization

Specifically fine-tuned on Filipino speech data to improve recognition accuracy

Based on XLS-R Architecture

Uses facebook's wav2vec2-xls-r-300m pre-trained model as the foundation

Efficient Training

Optimizes training efficiency with techniques like mixed-precision training and gradient accumulation

Model Capabilities

Filipino Speech Recognition

Speech-to-Text

Use Cases

Speech Transcription

Filipino Speech Transcription

Convert Filipino audio content into text

Word Error Rate (WER) 0.2922

Voice Assistants

Filipino Voice Assistant

Build voice interaction systems supporting Filipino

Training Loss	Epoch	Step	Validation Loss	Wer
3.3671	2.09	400	0.5584	0.5987
0.48	4.19	800	0.4244	0.4195
0.2796	6.28	1200	0.3742	0.3765
0.1916	8.38	1600	0.4291	0.3667
0.1463	10.47	2000	0.3745	0.3415
0.1165	12.57	2400	0.4472	0.3407
0.0955	14.66	2800	0.4269	0.3290
0.0823	16.75	3200	0.4608	0.3475
0.0709	18.85	3600	0.4706	0.3281
0.0603	20.94	4000	0.4380	0.3183
0.0527	23.04	4400	0.4473	0.3067
0.0449	25.13	4800	0.4550	0.3029
0.041	27.23	5200	0.4671	0.3020
0.0358	29.32	5600	0.4672	0.2922

Property	Details
Model Type	Filipino - wav2vec2 - l - xls - r - 300m - official
Training Data	filipino_voice

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Filipino Wav2vec2 L Xls R 300m Official

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