Philadelphia, PA – Regus at One Liberty Place

1650 Market St suite 3600, Philadelphia, United States, 19103

The venue is centrally located in Center City Philadelphia at One Liberty Place, which is easily accessible by car via I‑76, I‑95, and the Schuylkill Expressway, with several public parking garages nearby. From Philadelphia International Airport (PHL), a taxi or rideshare takes around 20–25 minutes via I‑76 East. Public transit is seamless: the 15th Street and Suburban Station SEPTA stops are a block away, and multiple bus and Regional Rail lines serve Market Street, positioning the venue within a few minutes' walk of major transit hubs.

Pittsburgh, PA – Regus at Keystone Building

500 Grant St Downtown, Suite 2900, Pittsburgh, United States, 15219

The venue is located in downtown Pittsburgh within the Keystone Building on Smithfield Street, easily accessible by car via I‑376 (Parkway West/East), I‑279, and I‑579, with multiple public parking garages nearby. From Pittsburgh International Airport (PIT), approximately 20 minutes away, taxis or rideshares typically follow Parkway into the city. Public transit is excellent—Robert Morris or Steel Plaza subway stations are a short walk away, and multiple bus routes serve downtown corridors.

Explore Our Courses

LLMs for Speech Recognition and Synthesis

 14 Hours

This instructor-led, live training in Philadelphia (online or onsite) is aimed at software developers and data scientists at beginner to intermediate levels who wish to implement large language models (LLMs) in speech recognition and synthesis systems for government.

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

  • Understand the role of LLMs in speech technologies for government.
  • Implement LLMs for accurate speech recognition and natural-sounding speech synthesis in public sector applications.
  • Integrate LLMs with speech recognition engines and speech synthesizers used in government workflows.
  • Evaluate and improve the performance of speech systems using LLMs to enhance public sector efficiency and accuracy.
  • Stay informed about current trends and future directions in speech technologies for government use.
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Speech Recognition and Transcription Using AI

 14 Hours

Speech recognition and transcription using artificial intelligence (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 in government operations.

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

  • Understand how modern speech recognition models are trained and deployed for government applications.
  • Evaluate open-source and commercial APIs for speech-to-text transcription suitable for government use.
  • Handle multilingual and domain-specific transcription challenges relevant to public sector workflows.
  • Build simple transcription workflows for different audio sources, aligning with government standards.

Format of the Course

  • Interactive lecture and discussion focused on government needs.
  • Extensive exercises and practice sessions tailored for government professionals.
  • Hands-on implementation in a live-lab environment, ensuring alignment with public sector requirements.

Course Customization Options

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

LLMs for Speech Recognition and Synthesis

2026-01-26 09:30
14 hours
Philadelphia, PA – Regus at One Liberty Place
$ 2703 (Online)
$ 2703 (Classroom)

LLMs for Speech Recognition and Synthesis

2026-02-09 09:30
14 hours
Philadelphia, PA – Regus at One Liberty Place
$ 2703 (Online)
$ 2703 (Classroom)

Speech Recognition and Transcription Using AI

2026-02-23 09:30
14 hours
Philadelphia, PA – Regus at One Liberty Place
$ 2703 (Online)
$ 2703 (Classroom)

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Speech Recognition Consulting
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