Speech models companies, products & suppliers
Speech recognition or speech-generation models sold as models, not a meeting product. Jobs: asr apis; tts models; speech embeddings.
What are Speech models?
Speech recognition or speech-generation models sold as models, not a meeting product. Jobs: asr apis; tts models; speech embeddings.
What problems does it solve?
Product teams need a speech model identity, not a bundled notes app.
Typical business use cases
- ASR APIs
- TTS models
- Speech embeddings
Important capabilities
- Language coverage
- Streaming
- On-prem options
What buyers should evaluate
- Audio retention
- Speaker identity features
- Licence
Risks and governance considerations
Audio of conversations retained to train the next model.
Procurement checklist
- Retention
- Training opt-out
- Language list
Relevant AI Trustmark assurance
AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.
Companies and providers
Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.
Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builder
AssemblyAI publishes Universal-3.5 Pro Realtime, Universal-3.5 Pro, and Universal-2 as named AI products. AssemblyAI is used for Transcription and Speech models work. AssemblyAI pu
Power enterprise voice solutions with Deepgram’s Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Real-time, accurate, and built for scale. Deepgram, Inc. trades as Deepgram,
ElevenLabs is a voice AI company that sells speech synthesis, voice cloning and related audio products over the web and API. ElevenLabs publishes Scribe v2, Flash v2.5, and ElevenL
Google is a US technology company that sells consumer and cloud AI products, including Gemini, Search, and related developer APIs on Google Cloud. Google publishes Imagen, Gemini f
Meta Platforms sells family-of-apps advertising products and open Llama models. Public AI pages cover research models, Llama releases and developer tooling. Meta publishes LlamaFir
NVIDIA sells GPUs, CUDA software and AI enterprise stacks used for training and inference. Public pages cover data-centre, cloud and on-prem AI compute. NVIDIA publishes NVIDIA cuO
OpenAI is a US AI research company that sells hosted assistants, APIs and developer tools, including ChatGPT and the OpenAI API. OpenAI publishes ChatGPT Work, omni-moderation, and
Speechmatics is a Cambridge-origin speech-recognition company selling transcription and speech-to-text software. Public marketing covers on-prem and cloud speech models for enterpr
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Amazon Nova 2 Sonic· Amazon Web Services
- Canary-1b-v2· NVIDIA
- Chirp 3· Google
- GPT-4o mini TTS· OpenAI
- GPT-4o Transcribe· OpenAI
- Nova-3· Deepgram
- Scribe· ElevenLabs
- SeamlessM4T v2 Large· Meta
- Universal-2· AssemblyAI
- Universal-3.5 Pro· AssemblyAI
Also used in this category
These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.
- Deepgram Speech-to-Text· Deepgram
- Speechmatics· Speechmatics
Related categories
Relevant procurement and assurance guides
Frequently asked questions
What is Speech models?
Speech recognition or speech-generation models sold as models, not a meeting product. Jobs: asr apis; tts models; speech embeddings.
What should not be listed as Speech models?
Products whose buyer job is meeting assistants, TTS product UIs, or voice-cloning studios. Those belong on their own category page so search queries are not split.
Has AI Trustmark independently assessed every Speech models supplier?
No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.
What are Speech models?
Speech recognition or speech-generation models sold as models, not a meeting product. Jobs: asr apis; tts models; speech embeddings.
Why do buyers need to know which model providers sit behind an AI product?
Most products depend on named models or APIs. Buyers should identify those providers, where data is sent, and who is accountable when a model version changes. A supplier that cannot name material model providers is not ready for high-assurance procurement.
How can buyers tell whether customer data is used to train models?
Ask whether prompts, files, logs or outputs are used to train, fine-tune or evaluate models, including by subprocessors. Require the contractual default, any opt-out, and whether the setting can be changed silently. Treat marketing 'we do not train' claims as unverified until evidenced.
What model or provider changes should a buyer insist on being told about?
Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.
How should buyers verify where AI customer data is processed?
Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.