Honolulu, HI - Waterfront

500 Ala Moana Boulevard, Suite 7400, Honolulu, United States, 96813

The venue is located on Ala Moana Boulevard at the vibrant Waterfront Plaza in the Kaka‘ako district, easily reachable by car via H-1 with paid parking on-site and nearby covered garages. From Daniel K. Inouye International Airport (HNL), about 6 miles away, taxis or rideshares typically take 12–15 minutes via Nimitz Highway and Ala Moana Boulevard. For public transit, TheBus routes and the Ala Moana Center bus stop are a short walk, and the venue is within 15 minutes of key hubs like Waikiki and downtown Honolulu—perfect for attendees traveling without a car.

Kapolei, HI - Kalaeloa Professional Center

91-1010 Saratoga Ave, Kapolei, United States, 96707

The venue is located in a secure garden‑style office park at 91‑1010 Shangrila Street in Kapolei, offering easy access by car via H‑1 freeway (exit at Kualakai Parkway), with free 24/7 surface parking on-site. It’s a 20-minute drive from Daniel K. Inouye International Airport (HNL) via H-1 West—taxi or rideshare is straightforward. While there’s no dedicated public transit to the office park, TheBus routes run nearby along Kamokila Blvd; guests can take a short rideshare or walk from the stop.

Explore Our Courses

LLMs for Speech Recognition and Synthesis

 14 Hours

This instructor-led, live training in Hawaii (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

2025-09-17 9:30 am
14 hours
Kapolei, HI - Kalaeloa Professional Center
$ 2703 (Online)
$ 3703 (Classroom)

LLMs for Speech Recognition and Synthesis

2025-10-01 9:30 am
14 hours
Honolulu, HI - Waterfront
$ 2703 (Online)
$ 2703 (Classroom)

Speech Recognition and Transcription Using AI

2025-10-15 9:30 am
14 hours
Kapolei, HI - Kalaeloa Professional Center
$ 2703 (Online)
$ 3703 (Classroom)

Speech Recognition and Transcription Using AI

2025-10-29 9:30 am
14 hours
Honolulu, HI - Waterfront
$ 2703 (Online)
$ 2703 (Classroom)

LLMs for Speech Recognition and Synthesis

2025-11-12 9:30 am
14 hours
Kapolei, HI - Kalaeloa Professional Center
$ 2703 (Online)
$ 3703 (Classroom)

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Speech Recognition Consulting
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