wav2vec2-large-xls-r-300m-turkish Open-Source Speech Recognition Model

Wav2vec2 Large Xls R 300m Turkish Colab Common Voice 8 4

Developed by husnu

This model is a speech recognition model fine-tuned on the Common Voice Turkish dataset, based on Facebook's wav2vec2-xls-r-300m model.

Downloads 19

Release Time : 5/9/2022

Model Overview

This is an automatic speech recognition (ASR) model for Turkish, based on the wav2vec2 architecture and fine-tuned on the Common Voice dataset.

Turkish Optimization

Specially fine-tuned for Turkish, improving recognition accuracy for this language.

Based on wav2vec2 Architecture

Utilizes Facebook's advanced wav2vec2-xls-r-300m architecture.

Low Word Error Rate

Achieved a word error rate (WER) of 0.3295 on the evaluation set.

Turkish Speech Recognition

Speech to Text

Speech Transcription

Turkish Speech Transcription

Convert Turkish speech content into text

Word error rate 0.3295

Property	Details
Model Type	Fine - tuned version of facebook/wav2vec2-xls-r-300m on common_voice dataset
Training Data	common_voice

Training Loss	Epoch	Step	Validation Loss	Wer
5.9268	0.51	400	1.3204	0.9175
0.7491	1.02	800	0.5880	0.6388
0.4911	1.53	1200	0.4680	0.5613
0.4265	2.04	1600	0.4213	0.5059
0.3473	2.55	2000	0.4199	0.4955
0.3291	3.07	2400	0.4323	0.5061
0.2819	3.58	2800	0.4026	0.4490
0.2628	4.09	3200	0.3831	0.4446
0.2371	4.6	3600	0.3622	0.4234
0.2274	5.11	4000	0.3473	0.4012
0.2051	5.62	4400	0.3471	0.3998
0.1985	6.13	4800	0.3759	0.4088
0.1767	6.64	5200	0.3620	0.4012
0.1707	7.15	5600	0.3415	0.3700
0.1559	7.66	6000	0.3317	0.3661
0.147	8.17	6400	0.3265	0.3618
0.1339	8.68	6800	0.3293	0.3586
0.126	9.2	7200	0.3386	0.3458
0.1149	9.71	7600	0.3305	0.3397
0.1051	10.22	8000	0.3235	0.3354
0.1005	10.73	8400	0.3201	0.3295

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