AddressTTS System Development:
Design and implement Text-to-Speech (TTS) systems to produce natural and expressive synthetic voices.
Collaborate with cross-functional teams to integrate TTS models into various applications and services.
Voice Modeling:
Develop voice synthesis models that capture the nuances of human speech for a diverse range of applications.
Work on voice modulation and expression to enhance the naturalness of synthesized voices.
Data Processing and Annotation:
Work closely with data scientists to pre-process and annotate large voice datasets for training TTS and Voice Modelling models.
Implement strategies for effective data augmentation and feature extraction.
Optimization and Scalability:
Optimize TTS and Voice Modelling systems for efficiency, scalability, and seamless integration into production environments.
Collaborate with DevOps and infrastructure teams to ensure smooth deployment and operation.
Research and Innovation:
Stay abreast of the latest advancements in TTS, voice synthesis, and related fields.
Contribute to the development of proprietary advancements, incorporating state-of-the-art techniques into our projects.
•Masters or Ph.D. in Computer Science, Machine Learning, or a related field but however if you are a great problem solver, can be a drop out is also
welcome.
•Proven experience in developing Text-to-Speech (TTS) systems and Voice Modelling.
• Proficiency in machine learning frameworks such as Tensor Flow or PyTorch.Strong programming skills in Python and familiarity with relevant libraries and tools.
• Solid understanding of signal processing, speech synthesis, and related technologies.
• Experience with voice data processing, annotation, and dataset preparation.Excellent problem-solving skills and ability to work collaboratively in a team
environment.
