Job Summary
We are seeking a highly skilled and motivated ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) Engineer to join our innovative team.
The successful candidate will be responsible for developing, optimizing, and deploying state-of-the-art ASR and TTS systems, contributing to our cutting-edge speech technology solutions.
This role requires a deep understanding of speech processing, machine learning, and software development.
Responsibility
- Design, develop, and optimize ASR and TTS models and algorithms.
- Implement and improve speech recognition and synthesis systems using deep learning frameworks.
- Collaborate with cross-functional teams to integrate ASR and TTS solutions into various applications and platforms.
- Conduct research and stay updated on the latest advancements in speech-processing technologies.
- Evaluate and benchmark the performance of ASR and TTS systems, ensuring high accuracy and efficiency.
- Troubleshoot and resolve issues related to speech processing systems and improve their robustness.
- Maintain and enhance existing speech processing models and pipelines.
- Contribute to the development of documentation, guidelines, and best practices for ASR and TTS systems.
Requirements
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on speech processing or machine learning.
- Proven experience in developing and deploying ASR and TTS systems.
- Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Proficiency in Python programming languages.
- Experience with signal processing, feature extraction, and speech recognition techniques.
- Familiarity with deep learning architectures, including RNN, CNN, Transformer models, etc.
- Ability to work effectively in a collaborative and fast-paced environment.
- Excellent problem-solving skills and attention to detail.
- Strong written and verbal communication skills.
Nice-to-Haves
- Experience with large-scale speech data collection and annotation.
- Knowledge of cloud-based services and tools for ASR and TTS deployment.
- Publications or contributions to the speech processing research community.
- Experience with end-to-end speech processing pipelines and real-time processing systems.
Benefits : Will be Discussed further.
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