# Speech data programs > Speaker, prompt, recording, transcription, and validation systems for multilingual speech development. [Speech & voice AI capability](https://admas.net/capabilities/speech/index.md) ## The challenge Speech datasets encode their collection choices. Unbalanced speakers, unnatural prompts, poor environments, and inconsistent transcription create model limits that are hard to repair later. We design the data program around the model task and the population it must serve. Language, demographic, acoustic, and legal requirements become operational collection rules. Quality is monitored throughout recruitment, recording, transcription, and delivery rather than inspected only at the end. ## How Admas works 1. **Specify the population:** Define languages, variants, speakers, environments, tasks, rights, metadata, and coverage targets. 2. **Run the collection:** Design prompts, recruit and guide speakers, control recordings, transcribe, and monitor field quality. 3. **Validate the corpus:** Audit coverage, signal quality, transcripts, duplicates, consent, metadata, and model suitability. ## Typical outputs - Speech data and speaker specification - Prompt and recording protocols - Validated audio, transcripts, and metadata - Coverage, quality, and provenance report ## Frequently asked questions ### What is speech data programs? Speaker, prompt, recording, transcription, and validation systems for multilingual speech development. In practice, the work is bounded by a defined product or model decision, named audiences and locales, representative inputs, and acceptance criteria that can be reviewed. ### When does a team need speech data programs? Speech datasets encode their collection choices. Unbalanced speakers, unnatural prompts, poor environments, and inconsistent transcription create model limits that are hard to repair later. The useful starting point is the smallest representative flow that can expose the cause, impact, and ownership of the problem. ### What does a speech data programs engagement include? Specify the population: Define languages, variants, speakers, environments, tasks, rights, metadata, and coverage targets. Run the collection: Design prompts, recruit and guide speakers, control recordings, transcribe, and monitor field quality. Validate the corpus: Audit coverage, signal quality, transcripts, duplicates, consent, metadata, and model suitability. ### What should we provide before speech data programs starts? The most useful inputs are target languages, dialects, and speaking contexts, audio or model access, speaker and consent requirements, acoustic conditions and devices, product tasks, scripts, prompts, and and quality thresholds. Admas can begin with a partial package, but missing context, rights, access, owners, or acceptance criteria will be made visible in the plan rather than treated as harmless assumptions. ### What does Admas deliver for speech data programs? Typical outputs include speech data and speaker specification, prompt and recording protocols, validated audio, transcripts, and metadata, coverage, quality, and and provenance report. Deliverables are adapted to the team that must use them, with decisions, evidence, limitations, owners, and next actions made explicit. ### How is the quality of speech data programs evaluated? Quality is measured against the real task and risk. Relevant evidence can include intelligibility and naturalness, task and recognition accuracy by cohort, pronunciation and prosody, speaker and acoustic coverage, latency, and accessibility and failure recovery. Sampling, severity rules, reviewers, adjudication, and pass or fail thresholds should be agreed before the result is used as a release decision. ### Can AI replace the human work in speech data programs? Speech models can draft transcripts, synthesize candidates, segment audio, and surface likely errors. Native listeners, phoneticians, voice specialists, conversation designers, and engineers are still needed to judge pronunciation, prosody, intelligibility, demographic coverage, and real interaction failures. The right allocation depends on consequence, content stability, available references, language coverage, reversibility, and the cost of a plausible but wrong result. ### How much does speech data programs cost? The estimate changes with recording or evaluation hours, languages, dialects, and speaker profiles, studio and equipment needs, transcription and annotation depth, model or integration work, and quality and consent controls. Pricing should distinguish setup and discovery, repeatable units, specialist or engineering time, independent review, management, and external costs. A low unit price is not comparable if it excludes the QA cycle or shifts rework back to the buyer. ## Related speech & voice ai services - [Text-to-speech development](https://admas.net/capabilities/speech/text-to-speech/index.md): Language design, pronunciation resources, voice evaluation, and product QA for natural synthesized speech. - [Speech recognition evaluation](https://admas.net/capabilities/speech/speech-recognition/index.md): Language-aware ASR testing, error analysis, and improvement plans across speakers, accents, domains, and environments. - [Conversational voice-agent localization](https://admas.net/capabilities/speech/conversational-voice-agent-localization/index.md): End-to-end localization of spoken agent experiences, from recognition and dialogue policy to synthesized voice and repair. - [Speech quality evaluation](https://admas.net/capabilities/speech/speech-quality-evaluation/index.md): Perceptual and task-based evaluation for recognition, synthesis, translation, enhancement, and spoken dialogue systems. ## Start a project - [Build a project brief](https://admas.net/start-a-project/index.md?focus=speech): Tell Admas what you are building, which modalities and languages matter, and where progress is blocked.