Sony is hiring a Speech Recognition Intern for a remote position. The function entails operating on advanced speech reputation technology, contributing to analysis and development efforts, and helping improve the accuracy of speech-to-text systems. Ideal applicants need to have a heritage in laptop technology, linguistics, or a related subject, with talents in machine learning, records analysis, and programming. A strong passion for AI and speech technology is important.
- Job Role: Speech Recognition Intern (Remote)
- Salary: Not Disclosed
- Location: Bengaluru, Karnataka
- Company: Sony
- Qualifications: Bachelor’s degree
ABOUT SONY
Sony Corporation is an international chief in technology, entertainment, and innovation, with a large portfolio that spans electronics, gaming, leisure, and economic offerings. Founded in 1946 in Tokyo, Japan, Sony has turned out to be one of the global’s maximum recognized brands. The organization is understood for its groundbreaking contributions to client electronics, such as the improvement of iconic merchandise along with the Walkman, PlayStation, and Bravia televisions.
Sony’s leisure division consists of important film, TV, and song manufacturing, with a wide variety of popular franchises. The company is likewise a key player in the fields of synthetic intelligence, robotics, and semiconductors, constantly pushing the boundaries of generation. With a commitment to creativity and innovation, Sony ambitions to encourage and increase lives globally, creating a large impact throughout industries via its first-rate products and services.
Job Description: Speech Recognition Intern (Remote)
Position Overview: We are searching for a stimulated and element-orientated Speech Recognition Intern to sign up for our dynamic crew remotely. This internship will provide you the opportunity to gain arms-on enjoy in speech popularity technology, device studying fashions, and herbal language processing (NLP). You will paint alongside skilled engineers and researchers to contribute to the improvement, checking out, and optimization of speech popularity fashions and tools.
Company Overview: We are a leading company that specializes in revolutionary AI and system-getting-to-know solutions. Our products leverage the contemporary generation to clear up real-global issues, and we are captivated with enhancing speech popularity structures to enhance consumer reports throughout diverse industries.
Key Responsibilities:
- Assist in developing and optimizing speech popularity algorithms for one-of-a-kind languages and accents.
- Work with massive datasets to educate, pleasant-tune, and check speech-to-textual content models.
- Help with the collection, preprocessing, and annotation of audio statistics to decorate the model’s overall performance.
- Conduct experiments and examine the performance of speech recognition systems to improve accuracy and performance.
- Collaborate with the group to put in force new capabilities and integrate speech reputation abilities into merchandise.
- Contribute to the guidance of documentation, reports, and shows based on assignment consequences.
Requirements:
- Current enrollment in a Bachelor’s or Master’s diploma application in Computer Science, Linguistics, Electrical Engineering, Data Science, or a related discipline.
- Basic know-how of system gaining knowledge of concepts, especially in speech popularity, NLP, or deep getting to know.
- Proficiency in programming languages inclusive of Python, with enjoyment in libraries like TensorFlow, PyTorch, or Keras.
- Familiarity with speech reputation equipment and frameworks including Kaldi, DeepSpeech, or comparable.
- Strong analytical abilties and an ardor for problem-fixing.
- Excellent verbal exchange abilties and ability to work properly in faraway crew surroundings.
Preferred Qualifications:
- The previous revels in speech processing, device getting to know, or information annotation.
- Exposure to audio signal processing techniques.
- Understanding of algorithms associated with speech popularity fashions.
Duration & Compensation:
- This is a far-flung, element-time internship with a bendy work schedule.
- Internship duration: three months, with the possibility of extension.
- Compensation: Paid, with opportunities for instructional credit if applicable.
How to Apply: Interested candidates are recommended to post their resume, along with a quick cover letter, explaining their interest in the function and applicable capabilities.
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