Speech Recognition & Voice AI Engineering Certification

The Speech Recognition & Voice AI Engineering Certification is a free intermediate-level, 20-minute skill test from Science of Apps. It tests speech recognition and voice AI engineering — audio fundamentals and features, acoustic models from CTC to Conformers and Whisper-style encoder-decoders, self-supervised speech models, word error rate and evaluation, streaming and latency for voice agents, text-to-speech and SSML, speaker diarisation, and responsible voice AI covering consent, voice cloning, accessibility and the FCC ruling on AI voices — written to the Whisper, CTC, wav2vec 2.0 and Conformer papers for 2026 and 2027. Score 70% or more on its 20 questions to earn a verifiable Speech Recognition & Voice AI Engineering certificate (SOA-SRVA). Every question is based on published standards and research — including What is the Speech service? (Microsoft Learn), Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) (Radford et al. (arXiv 2022)), Conformer: Convolution-augmented Transformer for Speech Recognition (Gulati et al., 2020) (arXiv) — and each answer is explained with its source.

Science of Apps offers a free Speech Recognition & Voice AI Engineering Certification, written for 2026 and 2027. It tests audio and model foundations, evaluation and data, real-time voice systems and diarisation, applications and responsible voice AI with 20 original scenario questions in all, each naming its published source; you get an instant score and a verifiable certificate with a credential ID you can add to LinkedIn.

Read the four skill areas on this page, then take the 20-minute test online — no fee, course or sign-up. You see every answer explained when you finish. Score 70% or more and you get a Speech Recognition & Voice AI Engineering certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.

Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: What is the Speech service? (Microsoft Learn); Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) (Radford et al. (arXiv 2022)); Conformer: Convolution-augmented Transformer for Speech Recognition (Gulati et al., 2020) (arXiv); LibriSpeech ASR corpus (OpenSLR); Connectionist Temporal Classification (Graves et al., ICML 2006); wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (Baevski et al., 2020) (arXiv). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.

Four skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Audio and Model Foundations (Audio features, Acoustic models and Self-supervised speech); Evaluation and Data (WER and normalisation, Test sets and Bias and robustness); Real-Time Voice Systems (Streaming ASR, Voice agents and latency and Text-to-speech); Diarisation, Applications and Responsible Voice AI (Diarisation, Contact centre and accessibility and Consent and voice cloning). Every question is an original scenario written to the 2026–2027 standard, with the published source named under it.

Speech or voice AI engineer, Conversational AI or voice agent developer, ML engineer working with audio, Contact centre AI specialist and Accessibility technologist. It suits students at leading universities, career switchers and experienced professionals who want quick, verifiable proof of Speech Recognition & Voice AI Engineering knowledge in 2026 and 2027.

CS and AI students at MIT, Stanford, CMU, Berkeley, IITs, Tsinghua and ETH are hired on depth beyond tool use: model internals, systems and hardware. Passing earns a founder-signed Science of Apps certificate with a credential ID and QR code that recruiters can verify.

WER is the number of substitutions, deletions and insertions needed to turn the recognised text into the reference transcript, divided by the number of words in the reference. Lower is better, and results depend heavily on text normalisation and the test set.

Natural conversation needs responses within a few hundred milliseconds. Streaming ASR produces partial transcripts as the user speaks, so end-of-turn detection, language model reasoning and text-to-speech can start sooner and total latency stays low.

Yes. The test is online, in English and free everywhere — people take it from India, the US, the UK, Europe, Africa, Latin America and Asia-Pacific. Your certificate is dated with your own local date and can be verified from anywhere at scienceofapps.com/certification/verify/.

20 questions — 5 from each of 4 skill areas — with a 20-minute limit. You need 70% (14 of 20) to pass and 90% for distinction.

We rate it Intermediate: assumes hands-on experience in the role. It has 20 scenario questions — 5 from each of 4 skill areas — and a 20-minute limit. You need 70% (14 of 20) to pass and 90% for distinction.

Nothing. There is no fee to take a test, to receive the certificate, to have it emailed or to verify it, and no sign-up.

On our server, not in your browser. The answers never reach the page until you submit, so a certificate can only be earned by passing. Each certificate gets a unique credential ID stored by Science of Apps.

You see your score for each area and every question with the correct answer and why, with the published source behind it. You can retake after 30 minutes, and the retake draws questions you haven't seen yet.

No. Every certificate is dated, so it always shows when you passed. Retake a test any time for a newer date or a higher score.

Yes. After you pass, Add to LinkedIn opens the Licenses & certifications form with the certificate name, Science of Apps as the issuer, the issue date, your credential ID and the verification link filled in. You can also download it as a PDF or PNG, and it's emailed to you as a PDF.

Every certificate has a credential ID and a QR code. Scanning it, or entering the ID at scienceofapps.com/certification/verify/, shows the holder's name, the certification, the score and the issue date from our records.

No. They are Science of Apps' own assessments of applied skill. They aren't issued by a university or standards body, and they work best alongside a portfolio that shows the skills in real work.