Which Picovoice speech product should I use?

If you want to create a voice experience similar to Alexa or Google, then you should use the Picovoice platform. If you need to recognize a single phrase or several (tens or fewer) predefined phrases, in an always-listening fashion, then you should use Porcupine (wake word engine). If you need to recognize complex voice commands within a confined and well-defined domain with a limited number of vocabulary and variations of spoken forms (1000s or fewer), then you should use Rhino (Speech-to-Intent engine).

What are the benefits of implementing voice interfaces on-device, instead of using cloud services?

Privacy, minimal latency, improved reliability, runtime efficiency, and cost-saving to name a few. More detail is available in this blog article.

Does Picovoice technology work in far-field applications?

It depends on many factors including the distance, ambient noise level, reverberation (echo), quality of the microphone, and audio frontend used (if any). It is recommended to try out our technology using the freely-available sample models in your environment. Additionally, we often publish open-source benchmarks of our technology in noisy environments [1] [2]. If the target environment is noisy and/or reverberant and the user is few meters away from the microphone, a multi-microphone audio frontend can be beneficial.

Does Picovoice software work in my target environment and noise conditions?

It depends on a variety of factors. You should test it out yourself with the free samples made available on Picovoice GitHub pages. If it does not work, we can fine-tune it for enterprise customers.

Does Picovoice software work in presence of noise and reverberation?

Picovoice software is designed to function robustly in presence of noise and reverberations. We have benchmarked and published the performance results under various noisy conditions [1] [2]. The end-to-end performance depends on the type and amount of noise and reverberation. We highly recommend testing out the software using freely-available models in your target environment and application.

Can I use Picovoice software for telephony applications?

We expect audio with 16kHz sampling rate. PSTN networks usually sample at 8kHz. It is possible to upsample but then the frequency content above 4kHz is gone and performance will be suboptimal. It is possible to train acoustic models for telephony applications if the commercial opportunity is justified.

My audio source is 48kHz/44.1KHz. Does Picovoice software support that?

Picovoice software expects a 16kHz sampling rate. You will need to downsample. Typically, operating systems or sound cards (Audio codecs) provide such functionality; otherwise, you will need to implement it.

Can Picovoice help with building my voice-enabled product?

Our core business is software licensing. That being said, we do have a wide variety of expertise internally in voice, software, and hardware. We consider such requests on a case-by-case basis and assist clients who can guarantee a certain minimum licensing volume.

If I am using GitHub to evaluate the software, do you provide technical support?

Before commercial engagement, basic support (solely on software issues or bugs) is provided via GitHub issues. We do not offer any free support with integration or support with any platform (either operating system or hardware) that is not officially supported via GitHub.

Why does Picovoice have GitHub repositories?

To facilitate performance evaluation, for commercial prospects, and also to enable the open source community to take advantage of the technology for personal and non-commercial applications.

What is the engagement process?

Please refer to the pricing page.

Does Picovoice offer AEC, VAD, noise suppression, or microphone array beamforming?

No. But we do have partners who provide such algorithms. Please add this to your enquiry when reaching out and we can connect you.

Can you build a voice-enabled app for me?

We do not provide software development services, so most likely the answer is no. However, via a professional services agreement we can help with proofs-of-concept (these will typically be rudimentary apps focused on voice user interface or building the audio pipeline), evaluations on a specific domain/task, integration of SDK in your app, training of custom acoustic and language models, and porting to custom hardware platforms.