Fine-Tune Wav2Vec2 for Enhanced Speech Recognition
Budget: ₹50,000 – ₹150,000 INR
I need an expert in machine learning, specifically with experience in fine-tuning the Wav2Vec2 model on custom data. The primary aim is to improve the model's speech recognition accuracy.
Requirements:
- Fine-tune the Wav2Vec2 model on our speech recordings with transcriptions.
- The recordings primarily consist of conversations, so the model should be capable of understanding and processing dialogue.
- Ultimately, the goal is to enhance the performance of speech recognition on our custom data.
- Create future pipeline for 2nd layer of finetuning with Industry specific data
Ideal Skills:
- Proficiency in Python and Pytorch.
- Extensive experience with Wav2Vec2.
- Ability to work with labeled speech data and fine-tune models for improved accuracy.
- Strong understanding of machine learning principles and techniques.
Requirements:
- Fine-tune the Wav2Vec2 model on our speech recordings with transcriptions.
- The recordings primarily consist of conversations, so the model should be capable of understanding and processing dialogue.
- Ultimately, the goal is to enhance the performance of speech recognition on our custom data.
- Create future pipeline for 2nd layer of finetuning with Industry specific data
Ideal Skills:
- Proficiency in Python and Pytorch.
- Extensive experience with Wav2Vec2.
- Ability to work with labeled speech data and fine-tune models for improved accuracy.
- Strong understanding of machine learning principles and techniques.
Related categories:
Python
Machine Learning (ML)
Data Cleansing
Automatic Speech Recognition
Data Augmentation