README.md

metadata

pretty_name: 'STOMA: A Multi-Speaker Greek Speech Corpus'
annotations_creators:
  - expert-generated
language:
  - el
license: cc-by-4.0
task_categories:
  - text-to-speech
  - automatic-speech-recognition
  - audio-classification
tags:
  - speech_corpus
  - greek_language
  - text-to-speech
  - neural_TTS
  - speech_synthesis
  - under_resourced_languages
  - audio
size_categories:
  - 10K<n<100K
dataset_info:
  features:
    - name: speaker_id
      dtype: string
    - name: section
      dtype: string
    - name: session
      dtype: int64
    - name: sentence_id
      dtype: int64
    - name: text
      dtype: string
    - name: audio
      dtype: audio
    - name: file_name
      dtype: string
  splits:
    - name: full
      num_examples: 14552
configs:
  - config_name: default
    data_files:
      - split: full
        path: data/stoma_full.parquet

---

STOMA: A Multi-Speaker Greek Speech Corpus

STOMA is a new multi-speaker Greek speech corpus designed to advance research in text-to-speech (TTS) synthesis and related speech technologies for under-resourced languages. The corpus comprises approximately 23 hours of professionally recorded read speech from six native speakers (three male and three female), captured under controlled studio conditions using a dual-booth setup to ensure acoustic consistency and high signal quality. The spoken material was selected from the Text Bank of the Center for the Greek Language, specifically from texts corresponding to the B2, C1, and C2 proficiency levels of the Certification of Attainment in Greek, ensuring linguistically rich and pedagogically balanced content. All recordings were standardized to 44.1 kHz, 16-bit mono PCM format and processed through a hybrid quality control pipeline combining automated normalization and manual verification. To assess dataset quality, we trained state-of-the-art neural TTS systems based on the FastSpeech2 acoustic model and the HiFi-GAN vocoder, achieving natural and intelligible synthesized speech. The resulting corpus provides a publicly accessible, high-quality resource that supports both linguistic research and the development of modern speech synthesis systems in Greek.

Dataset Structure

The dataset has been converted into a single file named "stoma_full.parquet". If you require the original folder structure, please contact us.

The dataset is organized into two main directories:

• Speakers/: Contains the .wav audio files, organized by Speaker ID, Corpus Section, and Session.
• Text/: Contains the .txt transcripts, organized by Corpus Section and Session.

Naming Convention

The files follow a strict naming convention that encodes the metadata:

Text Files

Format: Greek-<corpus>-<session>-<sentence>.txt

• <corpus>: The section of the corpus (e.g., Harvard, B2, C1, C2).
• <session>: The session number (e.g., 01, 29).
• <sentence>: The unique sentence ID within that session.

Audio Files

Format: Greek-<speaker>-<corpus>-<session>-<sentence>.wav

• <speaker>: The speaker identifier.
  • M: Main Male Speaker
  • F: Main Female Speaker
  • M1...MX: Other Male Speakers
  • F1...FX: Other Female Speakers

Usage

You can load this dataset directly in Python using the Hugging Face datasets library.

from datasets import load_dataset

# Download and Load the dataset
dataset = load_dataset("aangelakis/STOMA", data_files="data/*.parquet", split="full")

# Inspect the first example
sample = dataset[0]

# Print the Greek text
print("Text:", sample["text"])

# The 'audio' column is automatically decoded into a dictionary with 'array' and 'sampling_rate'
audio_data = sample["audio"]["array"]
sampling_rate = sample["audio"]["sampling_rate"]

License

STOMA is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

More Information

Check out our GitHub repository for the training and inference procedures: STOMA: A Multi-Speaker Greek Speech Corpus

Table 1: Text statistics for the full text collection (Greek Harvard, B2, C1, and C2), recorded in its entirety by the two primary speakers.

Statistic	Gr. Harvard	B2	C1	C2	Total
Total Sentences	720	1,087	1,571	1,296	4,674
Total Words	5,539	15,102	25,263	22,722	68,626
Total Characters	32,301	95,119	164,700	152,904	445,024
Distinct Words	3,343	5,606	8,965	8,275	20,253
Mean Words per Sentence	7.69	13.89	16.08	17.53	14.68
Min Words per Sentence	5	1	1	1	1
Max Words per Sentence	9	32	41	39	41

Table 2: Text statistics for the reduced text subset selected from the full collection, used for recordings by the secondary speakers.

Statistic	Gr. Harvard	B2	C1	C2	Subset Total
Total Sentences	720	190	194	197	1,301
Total Words	5,539	2,913	3,057	3,265	14,774
Total Characters	32,301	18,286	20,190	22,110	92,887
Distinct Words	3,343	1,519	1,604	1,676	6,899
Mean Words per Sentence	7.69	15.33	15.76	16.57	11.36
Min Words per Sentence	5	4	3	4	3
Max Words per Sentence	9	28	28	30	30

Table 3: Speech statistics of the STOMA corpus per speaker and overall.

Speaker ID	Clips	Total Duration	Mean Duration (s)	Min–Max (s)
F	4,674	7:46:21	5.99	0.41–16.60
M	4,674	8:53:37	6.85	0.48–22.31
F1	1,301	1:46:58	4.93	1.65–15.08
F2	1,301	1:27:38	4.04	1.46–11.13
M1	1,301	1:47:06	4.94	1.64–14.99
M2	1,301	1:26:43	4.00	1.10–10.39
Total	14,552	23:08:26	5.72	0.41–22.31

Table 4: Demographic information of the STOMA corpus speakers.

Name & Surname	Speaker ID	Age	Sex	Region Raised
Michail Raptakis	M	29	Male	Athens
Olympia Simantiraki	F	37	Female	Heraklion
Efstratios Selisios	M1	30	Male	Alexandroupoli
Gavriela Koutsikou	F1	21	Female	Larisa
Georgios Goupos	M2	22	Male	Larisa
Anastasia Kechagia	F2	26	Female	Athens

Table 5: Audio format specifications of the STOMA corpus recordings.

Property	Value
File format	WAV (RIFF)
Encoding	Pulse-Code Modulation (PCM)
Compression	None (uncompressed)
Channels	1 (mono)
Sampling rate	44.1 kHz
Bit depth	16-bit signed integer