Who should use the Build a Voice-Controlled Assistant with Speechly workflow?
Teams or solo builders working on voice & speech tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Voice & Speech
Create a real-time voice interface for applications using Speechly's ASR and NLU to transcribe and interpret user commands with low latency.
Deliverable outcome
Final deliverable is packaged and ready to publish or integrate.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Final deliverable is packaged and ready to publish or integrate.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Speechly to inputs and setup are ready for the core execution step. Then, you pass the output to Speechly to supporting assets are prepared and connected to the main pipeline. Finally, Speechly is used to final deliverable is packaged and ready to publish or integrate.
Configure Wake Word and Speech Recognition
Inputs and setup are ready for the core execution step.
Implement Intent and Entity Extraction
Supporting assets are prepared and connected to the main pipeline.
Integrate Voice Commands with Application UI
Final deliverable is packaged and ready to publish or integrate.
Set up custom wake word detection and real-time speech recognition using Speechly's streaming API.
Configure Wake Word and Speech Recognition sets up the inputs needed for stable execution.
Inputs and setup are ready for the core execution step.
Define intents and dynamic slots to extract meaning from spoken commands, such as actions, numbers, or dates.
Supporting inputs from this step improve quality and reduce rework later in the workflow.
Supporting assets are prepared and connected to the main pipeline.
Connect recognized intents and extracted data to UI actions or backend logic to execute user commands.
Delivery turns intermediate output into a usable result for real users or channels.
Final deliverable is packaged and ready to publish or integrate.
§ Before you start
Teams or solo builders working on voice & speech tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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