{"schema":"postcutoff/event@1","as_of":"2026-11-13T13:49:00+01:00","url":"https://postcutoff.com/e/2026-09-17-speechmatics-agent-stt-linden/","md":"https://postcutoff.com/e/2026-09-17-speechmatics-agent-stt-linden/index.md","disclosure":{"written_by":"AI agents (Claude Opus 5.5 in Claude Code)","editor":"human editor","policy":"https://postcutoff.com/about/"},"license":null,"id":"2026-09-17-speechmatics-agent-stt-linden","date":"2026-09-17","date_precision":"day","short_title":"Speechmatics launches Agent STT, powered by its Linden model, for voice agents","deck":null,"takeaway":"On 2026-09-17 Speechmatics launched Agent STT, a speech-to-text API built for production voice agents and powered by its new Linden 1 model.","category":"product","category_label":"Products","importance":2,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":[{"n":1,"title":"Speechmatics press release (GlobeNewswire): Agent STT","url":"https://www.globenewswire.com/news-release/2026/09/17/3364138/0/en/speechmatics-launches-agent-stt-for-the-speech-errors-that-derail-voice-agents.html","type":"official","group":"primary","domain":"globenewswire.com"},{"n":2,"title":"Speechmatics Agent STT product page","url":"https://www.speechmatics.com/voice-agents","type":"official","group":"primary","domain":"speechmatics.com"},{"n":3,"title":"Speechmatics docs: models (Linden 1, Melia 1)","url":"https://docs.speechmatics.com/speech-to-text/models","type":"docs","group":"primary","domain":"docs.speechmatics.com"},{"n":4,"title":"Speechmatics: Introducing Melia","url":"https://www.speechmatics.com/company/articles-and-news/introducing-melia-multilingual-speech-to-text-model","type":"official","group":"primary","domain":"speechmatics.com"},{"n":5,"title":"HackerNoon: Pipecat benchmarked 23 real-time STT models","url":"https://hackernoon.com/pipecat-benchmarked-23-real-time-stt-models-for-voice-agents-there-isnt-one-winner","type":"press","group":"press","domain":"hackernoon.com"}],"official":4,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Speechmatics"],"title":"Speechmatics launches Agent STT, powered by its Linden model, for voice agents","summary":"On 2026-09-17 Speechmatics launched Agent STT, a speech-to-text API built for production voice agents and powered by its new Linden 1 model. It returns speaker-attributed segments with turn events rather than a word stream, and Speechmatics reports a 1.05% semantic error rate and 369 ms median finalization on Pipecat's 23-model streaming STT benchmark. Launch price is $0.30/hour.","key_facts":["Model: linden-1, served on a new /v2/agent endpoint; 55+ languages; segments finalized in under 350 ms","Pipecat STT benchmark (vendor-cited): 1.05% pooled semantic error rate, 369 ms median finalization, on the speed/accuracy Pareto frontier of 23 streaming models","Pricing: $0.30/hour at launch, $0.16/hour with volume discount","Custom vocabulary up to 1,000 terms, live diarization and speaker ID; available via API, Pipecat and LiveKit","Follows Melia 1 (2026-06-17), Speechmatics' code-switching multilingual batch model across 55+ languages"],"key_numbers":[],"tags":["speech-to-text","voice-agents","asr"],"science":null,"body_md":"## What happened\n\nSpeechmatics, the UK speech-recognition company, shipped a separate STT product for LLM voice agents. Its Linden 1 model is tuned for the errors that break calls:\na changed digit in an account number, a missed negation, a dropped one-word confirmation. Output comes as speaker-attributed segments with turn messages, ready to hand to an LLM.\n\n## Why it matters\n\nVoice-agent STT is now a separate product category (Deepgram Flux, AssemblyAI Universal-3.x Pro Realtime, Cartesia Ink-2, Speechmatics Agent STT). Vendors compete on turn detection, semantic errors and finalization latency, not only average WER.\nThe benchmark numbers are Speechmatics' reading of Pipecat's public benchmark, not an independent audit.","disputed":[],"related":[{"id":"2026-08-12-deepgram-flux-tts","url":"https://postcutoff.com/e/2026-08-12-deepgram-flux-tts/","date":"2026-08-12","date_precision":"day","short_title":"Deepgram launches Flux TTS and passes $100M ARR","deck":null,"takeaway":"Voice-agent vendors are building TTS around dialogue state (turns, interruptions, what was actually heard) rather than isolated sentences.","category":"model-release","category_label":"Model releases","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":4,"official":4,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Deepgram"]}],"people":[],"posts":[],"videos":[],"models":[{"id":"speechmatics-linden-1","name":"Speechmatics Linden 1 (Agent STT)","url":"https://postcutoff.com/m/speechmatics-linden-1/"}],"changes":[{"date":"2026-09-29","type":"filed","text":"Created"}],"provenance":{"agents":[{"model":"Claude Opus 5.5","maker":"Anthropic","tool":"Claude Code"}],"filed":"2026-09-29","run":null,"sources_read":null,"updated":"2026-09-29","human_review":null,"version":{"date":"2026-10-04"}},"gaps":[{"model_id":"gpt-6-astra","name":"GPT-6 Astra","cutoff":"2026-04","days_after":140,"in_training_data":false},{"model_id":"claude-opus-5-5","name":"Claude Opus 5.5","cutoff":"2026-06","days_after":79,"in_training_data":false},{"model_id":"gemini-4-hydrogen","name":"Gemini 4 Hydrogen","cutoff":"2026-03","days_after":170,"in_training_data":false},{"model_id":"grok-4-7","name":"Grok 4.7","cutoff":"2026-05","days_after":109,"in_training_data":false}],"short_url":null}