Suzhou, Jinghope Plaza

11/F, 11/F, Tower 2, 88 Hua Chi Street, SIP, Suzhou, China, 215021

Situated right in the core of the Suzhou industry zone, The Regus Centre is on the 11th floor of Jinghope Plaza. Jinghope Plaza is a mixed use complex comprising a high-end shopping mall, 5 star hotel and international Grade A office building. It is one of the most prestigious landmarks in the financial center of Suzhou. Advanced facilities and central location attract many Fortune 500 companies such as Nokia, Philips and 3M. Jinghope Plaza has easy access to excellent facilities and amenities in Suzhou. Metro Line 1 Times Square station is just in the basement of the complex. The high-speed train station which provides easy transportation to Shanghai and Nanjing is only a 5 minutes drive from the centre.

Jinhe Plaza

11th Floor, No. 2, 88 Huachi Street, Industrial Park, Suzhou, China, 215021

The center of Jinhe Plaza is located at the core of Suzhou Industrial Zone, on the east bank of Jinji Lake. Jinhe Plaza is a comprehensive building, including high-end shopping malls, five-star hotels, international Grade A office buildings, and Regus is located on the eleventh floor of the building. As the most famous landmark in Suzhou Financial Center, with its advanced facilities and central location, it has attracted many Fortune 500 companies such as Nokia, Philips and 3M. Jinhe Plaza provides easy access to all major core areas of Suzhou. Metro Line 1 Times Square Station is located on the basement of the building, while the High Speed ​​Rail Station to Shanghai and Nanjing is a 5-minute drive away.

Explore Our Courses

LLMs for Speech Recognition and Synthesis

 14 Hours

This instructor-led, live training in SuZhou (online or onsite) is aimed at beginner-level to intermediate-level software developers and data scientists who wish to implement LLMs in speech recognition and synthesis systems.

By the end of this training, participants will be able to:

  • Understand the role of LLMs in speech technologies.
  • Implement LLMs for accurate speech recognition and natural-sounding speech synthesis.
  • Integrate LLMs with speech recognition engines and speech synthesizers.
  • Evaluate and improve the performance of speech systems using LLMs.
  • Stay informed about current trends and future directions in speech technologies.
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Speech Recognition and Transcription Using AI

 14 Hours

Speech recognition and transcription using AI involves converting spoken language into written text through machine learning models and natural language processing systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement, evaluate, and optimize AI-powered speech-to-text solutions for real-world use cases.

By the end of this training, participants will be able to:

  • Understand how modern speech recognition models are trained and deployed.
  • Evaluate open-source and commercial APIs for speech-to-text transcription.
  • Handle multilingual and domain-specific transcription challenges.
  • Build simple transcription workflows for different audio sources.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Upcoming Courses

LLMs for Speech Recognition and Synthesis

2025-09-29 09:30
14 hours
Jinhe Plaza

Speech Recognition and Transcription Using AI

2025-10-13 09:30
14 hours
Suzhou, Jinghope Plaza

LLMs for Speech Recognition and Synthesis

2025-10-27 09:30
14 hours
Jinhe Plaza

Speech Recognition and Transcription Using AI

2025-11-10 09:30
14 hours
Suzhou, Jinghope Plaza

Speech Recognition and Transcription Using AI

2025-11-24 09:30
14 hours
Jinhe Plaza

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