Delivered either online or on-site, these instructor-led live Speech Recognition training courses employ interactive, hands-on exercises to explore both the foundational and advanced principles of Speech Recognition.
These training sessions are offered as "online live training" or "onsite live training." Online live training (also referred to as "remote live training") is conducted via an interactive remote desktop. Conversely, onsite live training takes place directly at the client's premises in Copenhagen or within NobleProg’s corporate training centres in Copenhagen.
Speech Recognition is also widely recognized under terms such as Voice Recognition, Speech Technology, and Speech to Text (STT).
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
This live, instructor-led session in Copenhagen (online or onsite) caters to software developers and data scientists at beginner to intermediate levels who aim to incorporate LLMs into speech recognition and synthesis architectures.
By the conclusion of this program, attendees will possess the ability to:
Grasp the significance of LLMs in the context of speech technologies.
Deploy LLMs for high-accuracy speech recognition and realistic speech synthesis.
Seamlessly integrate LLMs with existing speech recognition engines and synthesizers.
Optimize and evaluate the effectiveness of speech systems leveraging LLMs.
Monitor current industry trends and prospective developments in speech technology.
This live training in Copenhagen guides intermediate professionals in implementing and refining AI speech recognition. Learners will master API evaluation, tackle multilingual complexities, and construct transcription workflows. The curriculum encompasses model architectures, data preprocessing, and real-world laboratory exercises.
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