Text To Speech (TTS) Algorithm Engineer

Baidu, Inc.; Singapore; On-site; SGD 76,540 - 114,810; Full time

Job summary

Baidu, Inc. in Singapore is seeking a candidate for optimizing and developing Text To Speech models. The role requires a Master's degree in a computer-related field and over a year of experience in speech synthesis. Candidates should be proficient in Python and familiar with deep learning frameworks like PyTorch. The position involves implementing cutting-edge speech synthesis projects and requires strong communication and technology enthusiasm.

Qualifications

• Master's degree or above, major in computer related field.
• More than one year of experience in speech synthesis.
• Familiar with Linux and proficient in Python.

Responsibilities

• Optimize Text To Speech model performance.
• Develop a large-scale Text To Speech model.
• Implement speech synthesis technology projects.

Skills

Speech synthesis

Python

Deep learning frameworks

Linux

Communication skills

Education

Master's degree in a computer-related field

Tools

PyTorch

Job description

Responsibilities

• Text To Speech model and performance optimization
• Participate in the development of a large-scale Text To Speech model, including but not limited to optimizing the model structure, pre training ICL, fine-tuning SFT, and other related tasks
• Follow up on cutting-edge technologies related to voice communication
• Participated in the implementation of speech synthesis technology projects for multiple Baidu overseas products

Requirements

• Master's degree or above, major in computer related field, with experience in speech/signal processing related projects
• More than one year of work experience in the field of speech synthesis
• Familiar with Linux and Python, proficient in using deep learning frameworks such as PyTorch
• Good communication, enthusiastic about technology, diligent in learning, positive and proactive
• Bonus points: Published papers in top conferences or journals such as Interspeech and ICASSP, and won awards in speech competitions