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Wav2vec2 Base Turkish Cv7
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Wav2vec2 Base Turkish Cv7

Developed by cahya
Turkish automatic speech recognition model based on wav2vec2 architecture, fine-tuned on the Common Voice 7.0 Turkish dataset
Speech Recognition
Transformers
 OtherOpen Source License:Apache-2.0#Turkish Speech Recognition#High-precision WER#Common Voice Dataset
Downloads 21
Release Time : 3/2/2022

Model Overview

This model is a neural network for Turkish automatic speech recognition (ASR), based on Facebook's wav2vec2 architecture and fine-tuned on the Mozilla Common Voice 7.0 Turkish dataset.

Model Features

High Accuracy
Achieves a word error rate (WER) of 27.13% on the Common Voice Turkish test set
Based on wav2vec2 Architecture
Utilizes Facebook's wav2vec2 self-supervised learning architecture with powerful speech feature extraction capabilities
Optimized for Turkish
Specifically optimized and fine-tuned for Turkish speech characteristics

Model Capabilities

Turkish speech-to-text
Continuous speech recognition
Speech content transcription

Use Cases

Speech Transcription
Voice Memo Transcription
Automatically convert Turkish voice memos into text
Accuracy approximately 72.87%
Assistive Technology
Voice Control Interface
Provide voice control functionality for Turkish users
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