---
title: "Deepgram speech synthesis family | Ethical Stack"
url: https://ethicalstack.ai/models/deepgram-tts-family/
catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2
---

# Deepgram speech synthesis family

Aura and Flux TTS generate speech for applications and voice agents, with separate endpoint and language support.

Canonical profile: https://ethicalstack.ai/models/deepgram-tts-family/

Scope: Aura-2, Aura-1 and Flux TTS variants documented by Deepgram.

Published overall: 2.5; 6/6 dimensions rated.

Round the equal-weight mean of available numerical ratings to one decimal; require at least four of six for an overall score. BDS status stays outside the mean; for eligible profiles, a boycott target caps the final score at 2/10 and a pressure target subtracts one point (minimum 1). Not listed and not checked do not adjust the score.

## Energy practices

Finding: 2/10

Assessment: https://ethicalstack.ai/models/deepgram-tts-family/#energy

The public service documents a hosted route, but no comparable energy or clean-electricity report was found.

Reason: 1 + 1 reporting + 0 electricity + 0 controls = 2/10. This grades documented practices and transparency.

Argument: This hosted audio service profile scores disclosed deployment choices and operating controls, not measured energy savings. The reviewed product and company materials do not publish request-level electricity, an attributable data-center energy mix, or verified clean-power procurement for this service.

Type: argument; confidence: medium

Scope (dimension): Deepgram speech synthesis family

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Comparable per-minute or per-generation electricity, water use, lifecycle emissions and independently verified clean-power sourcing are not published in these sources.

```json
{
  "method": "practices-transparency-v1",
  "scope": "Deepgram speech synthesis family",
  "components": {
    "disclosure": {
      "score": 1,
      "reason": "The official documentation identifies the hosted runtime boundary. It does not quantify electricity or lifecycle impact for this route.",
      "sourceUrls": [
        "https://developers.deepgram.com/docs/text-to-speech"
      ]
    },
    "electricity": {
      "score": 0,
      "reason": "No attributable clean-electricity procurement or hourly matching evidence was found in the cited primary material.",
      "sourceUrls": [
        "https://deepgram.com/about"
      ]
    },
    "demand": {
      "score": 0,
      "reason": "No documented user controls for reducing energy demand were found in these product sources.",
      "sourceUrls": [
        "https://developers.deepgram.com/docs/text-to-speech"
      ]
    }
  },
  "actualImpactMeasured": false
}
```

- [Deepgram text-to-speech documentation](https://developers.deepgram.com/docs/text-to-speech) (primary; checked 2026-10-28)

- [Deepgram official company, product or policy source](https://deepgram.com/about) (primary; checked 2026-10-28)

## Training data

Finding: 1/10

Assessment: https://ethicalstack.ai/models/deepgram-tts-family/#training-rights

The named hosted model family has no model-specific public training-data rights audit in the reviewed sources.

Reason: 1 + 0 source transparency + 0 permission + 0 creator controls = 1/10, with the permission cap applied.

Argument: Official documentation identifies the hosted Deepgram speech synthesis family and its intended tasks, but does not provide an itemized source inventory, licenses or speaker/performer consent records for the model’s training data. The service’s user-input controls do not establish rights in the model’s original training data.

Type: argument; confidence: medium

Scope (profile): Aura-2, Aura-1 and Flux TTS variants documented by Deepgram.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Training source inventory, source-level permissions, speaker/performer consent and compensation, removal controls and independent audit are not documented for this specific model family.

```json
{
  "method": "training-rights-evidence-v1",
  "scope": "The stated training release or selected model",
  "components": {
    "provenance": {
      "score": 0,
      "reason": "The model documentation does not disclose training-data sources.",
      "sourceUrls": [
        "https://developers.deepgram.com/docs/text-to-speech",
        "https://developers.deepgram.com/trust-security/your-data"
      ]
    },
    "permissions": {
      "score": 0,
      "reason": "No source-level permissions evidence for training data was found in the model documentation.",
      "sourceUrls": [
        "https://developers.deepgram.com/docs/text-to-speech",
        "https://developers.deepgram.com/trust-security/your-data"
      ]
    },
    "creatorControls": {
      "score": 0,
      "reason": "No model-specific creator opt-out, removal or retraining remedy was found.",
      "sourceUrls": [
        "https://developers.deepgram.com/docs/text-to-speech",
        "https://developers.deepgram.com/trust-security/your-data"
      ]
    }
  },
  "routeDependency": null,
  "modelReference": null
}
```

- [Deepgram text-to-speech documentation](https://developers.deepgram.com/docs/text-to-speech) (primary; checked 2026-10-28)

- [Deepgram API data and zero-retention controls](https://developers.deepgram.com/trust-security/your-data) (primary; checked 2026-10-28)

- [Deepgram official company, product or policy source](https://deepgram.com/about) (primary; checked 2026-10-28)

- [Deepgram official company, product or policy source](https://deepgram.com/privacy) (primary; checked 2026-10-28)

- [Deepgram official company, product or policy source](https://deepgram.com/terms) (primary; checked 2026-10-28)

## Your data & privacy

Finding: 6/10

Assessment: https://ethicalstack.ai/models/deepgram-tts-family/#privacy

Hosted Deepgram API calls join its Model Improvement Program by default; a request opt-out excludes payloads from training and storage.

Reason: For hosted Deepgram API calls, Deepgram says API payloads are included in its Model Improvement Program by default. Set mip_opt_out=true on each request (or configure the account) to exclude payloads from model training and storage; operational metadata and usage logs are still kept for 90 days, with summarized usage retained after that. Voice Agent’s selected LLM and other connected processors follow separate terms, and region routing alone does not cover every data path. Self-hosted enterprise deployments use customer-controlled infrastructure; their data handling depends on the deployment configuration and agreement.

Argument: For hosted Deepgram API calls, Deepgram says API payloads are included in its Model Improvement Program by default. Set mip_opt_out=true on each request (or configure the account) to exclude payloads from model training and storage; operational metadata and usage logs are still kept for 90 days, with summarized usage retained after that. Voice Agent’s selected LLM and other connected processors follow separate terms, and region routing alone does not cover every data path. Self-hosted enterprise deployments use customer-controlled infrastructure; their data handling depends on the deployment configuration and agreement.

Type: argument; confidence: medium

Scope (profile): Aura-2, Aura-1 and Flux TTS variants documented by Deepgram.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: The reviewed docs do not give a single retention period for non-opted-out payloads; verify the request flag/account setting and separate Voice Agent processor terms.

- [Deepgram API data and zero-retention controls](https://developers.deepgram.com/trust-security/your-data) (primary; checked 2026-10-28)

- [Deepgram official company, product or policy source](https://deepgram.com/privacy) (primary; checked 2026-10-28)

## Openness

Finding: 2/10

Assessment: https://ethicalstack.ai/models/deepgram-tts-family/#openness

The application, hosted API and model serving are proprietary; public technical docs cover integration and selection.

Reason: Official materials describe Deepgram speech synthesis family and how to use its hosted features, but do not publish its complete application or serving implementation under an open-source license. Public API documentation does not make the hosted model weights or full production stack inspectable.

Argument: Official materials describe Deepgram speech synthesis family and how to use its hosted features, but do not publish its complete application or serving implementation under an open-source license. Public API documentation does not make the hosted model weights or full production stack inspectable.

Type: argument; confidence: medium

Scope (profile): Aura-2, Aura-1 and Flux TTS variants documented by Deepgram.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Complete source code, model weights, training recipe and independent reproduction are unavailable for this hosted service.

- [Deepgram text-to-speech documentation](https://developers.deepgram.com/docs/text-to-speech) (primary; checked 2026-10-28)

- [Deepgram API data and zero-retention controls](https://developers.deepgram.com/trust-security/your-data) (primary; checked 2026-10-28)

## Worker protections

Finding: 1/10

Assessment: https://ethicalstack.ai/models/deepgram-tts-family/#labour

Deepgram publishes public company and careers information, but the reviewed pages do not establish worker protections across its AI supply chain.

Reason: 1 + 0 + 0 + 0 = 1/10. Documented worker protections; missing disclosure is an evidence gap.

Argument: The reviewed company and product material provides some public visibility into the organization, but not independently verified evidence on annotation, moderation, contractor pay, worker representation, grievance handling or remedies. This score reflects what the vendor documents, not a finding that workers are mistreated. This entry carries the same developer/operator finding to Deepgram speech synthesis family; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): Deepgram: the documented developer/operator record, not proof of deployment of Deepgram speech synthesis family.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Contractor conditions, worker voice and remedy, supply-chain coverage and independent worker-level assurance are not established in these sources.

```json
{
  "method": "worker-safeguards-evidence-v1",
  "entity": "deepgram",
  "company": "Deepgram",
  "scope": "Deepgram employees and AI supply-chain workers",
  "components": {
    "conditions": {
      "score": 0,
      "reason": "No clear public evidence on pay or working conditions across employees and contractors was found in the reviewed company and product pages.",
      "sourceUrls": [
        "https://deepgram.com/careers"
      ]
    },
    "voice": {
      "score": 0,
      "reason": "No worker grievance, representation or remedy process was found in the reviewed public pages.",
      "sourceUrls": [
        "https://deepgram.com/about"
      ]
    },
    "assurance": {
      "score": 0,
      "reason": "No independent worker-level implementation audit was found in the reviewed public pages.",
      "sourceUrls": [
        "https://deepgram.com/careers"
      ]
    }
  },
  "disclosureLimited": true
}
```

- [Deepgram official company, product or policy source](https://deepgram.com/careers) (primary; checked 2026-10-28)

- [Deepgram official company, product or policy source](https://deepgram.com/about) (primary; checked 2026-10-28)

## Military ties

Finding: 3/10

Assessment: https://ethicalstack.ai/models/deepgram-tts-family/#military-contracts

Deepgram publicly markets voice AI for defense missions and intelligence-community networks, with government procurement routes.

Reason: 1 + 0 use restrictions + 0 enforcement & oversight + 2 relationship disclosure = 3/10. Known defense ties lower this rating; safeguards can improve it within the relationship’s cap.

Argument: Deepgram’s government page advertises speech recognition, speech generation and voice agents for Defense, including on-premises and air-gapped mission deployments; it also describes classified Intelligence Community use and an In-Q-Tel portfolio. Its Carahsoft page says military commands can procure the service and gives a DoD contact-center example. This is a direct, broad defense and intelligence relationship at company level, not evidence that every catalog product is used in combat. This entry carries the same developer/operator finding to Deepgram speech synthesis family; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): Deepgram: the documented developer/operator record, not proof of deployment of Deepgram speech synthesis family.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Named operational customers, contract values, deployed model versions, mission outcomes, safeguards and whether any deployment supports combat or targeting are not established by these pages.

```json
{
  "method": "military-ties-priority-v2",
  "entity": "deepgram",
  "company": "Deepgram",
  "scope": "Company-level broad defense and intelligence enablement; no deployment is attributed to every profile or model.",
  "components": {
    "restrictions": {
      "score": 0,
      "reason": "No public blanket restriction on defense or intelligence uses was found in the cited pages.",
      "sourceUrls": [
        "https://deepgram.com/solutions/government",
        "https://deepgram.com/terms"
      ]
    },
    "oversight": {
      "score": 0,
      "reason": "The cited materials describe deployment and compliance choices but no independent military-use oversight or deployment review.",
      "sourceUrls": [
        "https://deepgram.com/solutions/government"
      ]
    },
    "transparency": {
      "score": 2,
      "reason": "Deepgram names defense, intelligence-community deployments, In-Q-Tel and military procurement channels on its official pages.",
      "sourceUrls": [
        "https://deepgram.com/solutions/government",
        "https://deepgram.com/partners/Carahsoft"
      ]
    }
  },
  "disclosureLimited": true,
  "relationship": "broad-defense",
  "relationshipReason": "Deepgram directly markets defense and classified intelligence uses and procurement routes; the reviewed pages do not establish weapons, targeting or combat-intelligence use.",
  "score": 3,
  "baseScore": 1,
  "safeguardPoints": 2,
  "safeguardAdjustment": 2,
  "rawScore": 3,
  "cap": 3
}
```

- [Deepgram voice AI for government and defense missions](https://deepgram.com/solutions/government) (primary; checked 2026-10-28)

- [Deepgram official Carahsoft public-sector procurement page](https://deepgram.com/partners/Carahsoft) (primary; checked 2026-10-28)

- [Deepgram official company, product or policy source](https://deepgram.com/terms) (primary; checked 2026-10-28)

## BDS targets

Finding: Not listed

Assessment: https://ethicalstack.ai/models/deepgram-tts-family/#israel-palestine

Deepgram was not named in the two official BNC technology and corporate target lists checked.

Reason: Campaign category, excluded from numerical scoring.

Argument: The official BNC corporate boycott and pressure guide and its No Tech campaign page do not name Deepgram among the current targets listed there. BDS uses selective, campaign-based targets; absence from these two lists is neither approval nor a broad assessment of company relationships. This entry carries the same developer/operator finding to Deepgram speech synthesis family; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): Deepgram: the documented developer/operator record, not proof of deployment of Deepgram speech synthesis family.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: This categorical check covers only the two linked BNC lists as reviewed on the date shown; local campaigns and future list updates may differ.

- [BNC guide to boycott and pressure targets](https://bdsmovement.net/Guide-to-BDS-Boycott) (campaign; checked 2026-10-28)

- [BNC No Tech campaign](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (campaign; checked 2026-10-28)

## Reading the evidence

- Assessments are provisional editorial judgments. Cite the profile and the underlying sources, and retain confidence, scope and unknowns.

- Unknown, not-applicable and model-dependent are different states. Missing evidence does not establish good or bad conduct.

- Company-level evidence does not establish use of a particular product or model. Account plan, model, host and route can change an assessment.

- Energy scores describe documented practices and transparency, not measured request emissions. Zero component points can mean an evidence gap.

- Published overall scores require at least four of six numerical dimensions. Preserve coverage and BDS adjustments; BDS itself is categorical.

- No named BDS target found is limited to the reviewed campaign sources and is not approval. Personalized priorities do not change the published overall score.

- Review and source-check dates describe the research, not this deployment. Fetch current primary sources when the decision requires current verification.

Methodology: https://ethicalstack.ai/methodology/