Sub-Saharan Africa · Ge'ez (Ethiopic)

Amharic Read Speech Dataset

Amharic read speech sourced to your specification — no inventory, no fixed listing. This page covers what is specifically hard about this pairing, and which fields your specification needs to pin down.

Why read speech in Amharic is its own problem

Amharic read speech looks easy because the script is explicit, and it is not. Gemination, the lengthening of a consonant, changes the meaning of a word and the script does not mark it anywhere. Two readers can produce the same written sentence with different consonant lengths and each be reading correctly by their own lights, which leaves the batch internally inconsistent with no way to recover the difference afterwards.

The field to pin down first: Whether the reading text carries a gemination decision for ambiguous words, and whether the reader is allowed to choose. Left open, two readers deliver two different corpora under one text.

At a glance

LanguageAmharic
Primary regionSub-Saharan Africa
Writing systemGe'ez (Ethiopic)
CategoryRead Speech
Specification field to settle firstWhether the reading text carries a gemination decision for ambiguous words, and whether the reader is allowed to choose. Left open, two readers deliver two different corpora under one text.
DeliverySourced to order, pilot batch before the full run

What read speech data is

Recordings of speakers reading specified text, with clear pronunciation and known text, the base material for TTS and ASR.

What buyers get wrong about it

The trap with read speech is that it is too clean — it comes out sounding like a news anchor, and a model trained on it underperforms in real conditions. We collect an extra set at natural speaking rate as a comparison.

The specification field that decides the quote

Studio (low noise floor) or home (real environment) — the two differ in both signal-to-noise ratio and price.

The language side: what Amharic demands

Amharic uses the Ge'ez (Ethiopic) script, in which each consonant has seven vowel-variant glyphs. Which variant is written and how the sound is actually pronounced in speech often disagree, so the annotation guideline has to state which side governs.

More on Amharic speech data →

What we can put in this delivery

  • Read and conversational speech

    Scripted recording for TTS, and unscripted conversation for recognition. Specified separately because they need different speaker pools.

  • Transcription to your convention

    Orthographic or phonetic, with the guideline written before production and shared with you for review.

  • Speaker metadata

    Age band, gender, region and dialect background per file, so you can slice the dataset rather than take it whole.

  • Consent documentation

    Signed speaker consent covering the intended use, plus collection methodology and the annotation guideline.

  • Pilot batch

    A small batch first, which you can reject. Misalignments surface after a few hours rather than at delivery.

  • Delivery in your format

    Audio format, sampling rate, segmentation length and metadata schema set to your pipeline's requirements.

What arrives in a delivery

ComponentWhat it is
Audio filesFormat, sampling rate and segmentation length set to your pipeline. Named to a convention you specify.
TranscriptionOrthographic or phonetic, produced under a guideline you review before production starts.
Speaker metadataAge band, gender, region and dialect background per file, plus a speaker identifier so the dataset can be sliced.
Recording conditionsEnvironment, device and, where relevant, measured signal-to-noise ratio per file.
Annotation guidelineThe document the annotators worked from, so you can reproduce the conventions on your own data.
Consent recordsSigned speaker consent covering your intended use, with the transfer mechanism addressed where required.
Collection methodologyHow speakers were recruited, screened and scheduled — the part that tells you how biased the pool is.
Quality reportPilot outcome, re-work log, and the annotator agreement figures where the task supports measuring them.

Questions we get about Amharic Read Speech

How many distinct speakers can you provide for Amharic Read Speech?

It depends on the specification and the timeline, and we will give a real number rather than a target. For this pairing, speaker recruitment is usually the step that sets the schedule. Whether the reading text carries a gemination decision for ambiguous words, and whether the reader is allowed to choose. Left open, two readers deliver two different corpora under one text.

Can you annotate to our own guideline instead of the default?

Yes, and for this pairing we would recommend it. Amharic read speech looks easy because the script is explicit, and it is not. That is exactly the kind of decision a default guideline leaves open, and it is where annotators diverge. Send us your guideline, or we will draft one and you can review it before production starts.

Do you offer a sample before we commit to a full run?

Yes. Select a free sample in the request form and describe what you need. A pilot batch is the cheapest way to establish whether the quality bar is reachable for Amharic Read Speech before committing to the full volume.

Is the data licensed or owned outright?

Licensing terms are set per project, so tell us how the model will be used and whether it will be distributed. Consent documentation travels with the data either way, and we do not handle medical or clinical data or recorded telephone calls.

Other datasets in Amharic

  • Amharic Code-Switching Speech

    Speech that mixes two or more languages inside a single utterance — Hinglish, Spanglish, Taglish — used for recognition in real spoken settings.

  • Amharic Children Speech

    Speech data from child speakers, grouped by age band, used for children's speech recognition and children's education products.

  • Amharic Audiobook

    Continuous long-form narration in audiobook style, steady in intonation and generous in duration, the main source material for high-quality TTS.

  • Amharic Short Video Speech

    Speech in the talking-head style of short video — fast, emotionally strong, colloquial — used for short video subtitles and content understanding.

  • Amharic Live Stream Speech

    Long-session spoken content from live streams — host monologue and responses to audience interaction — fast-paced and heavily improvised.

  • Amharic Voice Assistant

    Command and dialogue data for voice assistants, usually with intent annotation, covering the full chain from wake word to understanding to response.

All Amharic data →

Read Speech in other languages

All Read Speech data →

Request Amharic Read Speech

Tell us the language, the hours, and what the data needs to look like. You will get a real number and a real timeline — not a range. If we cannot source it well, we will tell you that instead.

  • Pilot batch before the full run, so problems surface early.
  • Consent documentation delivered with the data.
  • No medical or clinical data. No recorded telephone calls.

We reply within two business days. Your details are used only to answer this request. See our privacy policy.

Contact

Talk to a human

Send a specification and we will come back with a real number and timeline.

Submit a sourcing request

Or email hello@linguacorpus.com