Audio Processing Engineer
5 days ago
Key Responsibilities:
- Fine-tune and optimize STT models for improved accuracy in noisy and diverse conditions.
- Curate and pre-process datasets with various languages, accents, and noise types.
- Implement data augmentation techniques to enhance model robustness.
- Evaluate model performance using metrics like Word Error Rate (WER).
- Tune hyperparameters to improve model efficiency and performance.
- Collaborate with data scientists and engineers to integrate STT models into real-time applications.
- Stay updated on advancements in speech recognition and machine learning.
Required Skills:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience with Speech-to-Text models (e.g., DeepSpeech, Wav2Vec, Kaldi).
- Strong proficiency in deep learning frameworks (TensorFlow, PyTorch).
- Expertise in speech recognition, feature extraction (e.g., MFCC, spectrograms), and transfer learning.
- Proficiency in Python and libraries like Librosa, NumPy, and SciPy.
- Experience with cloud platforms for model deployment.
About the Company:
Griphic is founded by IIT Delhi engineers. Our vision is to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and bring disruption in the industry. We have a dynamic team with engineers from IIT Delhi, AI/ML engineers, VR developers, and many more. Our startup is backed by the world's leading design documentation firm, SKETS Studio, which has a strength of 700+ people and specializes in BIM, architecture, VR, and 3D visualization.
Interested candidates should submit their resumes at jobs@griphic.com along with a brief cover letter and any relevant project examples or GitHub links.
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