
Become a Pioneer in Speech Recognition Research
2 days ago
Speech Recognition Researcher
This position involves working on real-world problems in automatic speech recognition (ASR), focusing on improving noise robustness and reducing hallucinations in transcription outputs. As a researcher, you will work with state-of-the-art tools and datasets, and contribute to impactful projects alongside experienced engineers.
- Enhance ASR robustness under noisy conditions by exploring new techniques.
- Investigate hallucination phenomena in end-to-end ASR models and propose mitigation strategies.
- Evaluate ASR performance across varying noise levels using large-scale speech datasets.
Key Qualifications:
- Master's degree in deep learning or Ph.D. in machine learning with hands-on experience in Transformer models for audio/speech applications.
- Strong programming skills in Python and familiarity with PyTorch or TensorFlow.
- Prior experience with speech processing libraries and ASR models like Wav2Vec2, Whisper, or RNN-T is a plus.
Benefits:
- Opportunity to work on cutting-edge research projects.
- Collaborate with experienced researchers and engineers.
Duration: 6 months, starting August 2025. 9:00 to 18:00 (Monday to Friday).
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