Hungarian Medical Speech Database

77 Last view: 2024-11-06

Hungarian Medical Speech Database

HuMedical

http://alpha.tmit.bme.hu/speech/

ID:

220 Hungarian Medical Speech Database is a newly created and continuously enhanced speech database which contains pathological speech uttered by speakers suffering from various speech disorders. The development of the database was carried out within CESAR.

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DistributionAvailability

Available - Restricted Use

Start date: 31/01/2013

Licence

MS - NC - No ReD - FF

Restrictions: Academic - Non Commercial Use

Download location: hidden

Distribution Access/Medium: DVD - R

Licensors:

Henk Tamás

Distribution rights holders:

Klára Vicsi

IPR Holder

Klára Vicsi

Contact Person

Klára Vicsi

text
audio

Monolingual text corpusLanguages

Hungarian

Linguality

Linguality type: Monolingual

Size

50 Files

Character encoding

UTF - 8

Creation

Creation mode: Manual

Monolingual audio corpusLanguages

Hungarian (2 Hours)

Linguality

Linguality type: Monolingual

Size

2 Hours

AnnotationSpeech Annotation - Orthographic Transcription

Annotated elements: Background Noise

Segmentation level: Phrase

Format: TextGrid (Praat)

Annotation Mode: Manual (Segmentated into speaker turns, partial phoneme segmentation)

Annotation Tools:

Praat

Start date: 01/05/2011

End date: 20/12/2012

Content

Speech items: Free Speech, Phonetically Rich Sentences

Noise Level: Low

Setting

Naturality: Assisted

Conversational type: Dialogue

Scenario: Other

Audience: Few

Interactivity: Semi Interactive

Audio Formatswave/audio (2 Hours)

Compression: False

Recording quality: High

Quantization: 16

Number of tracks: 1

Sampling rate: 16000

Signal encoding: LinearPCM

Resource Creation

Resource Creator

Klára Vicsi

Creation lasted: 01/01/2011 - 20/12/2012

Metadata

Created: 22/01/2013

Last Updated: 22/01/2013

Source: CESAR

Metadata Creator

György Szaszák

Version

Version: 1.0

Last Updated: 20/12/2012

Usage

Foreseen UseNlp Applications

Use NLP Specific: Other, Speech Analysis, Speech Understanding

Human UseActual Use - Human Use

Use NLP Specific: Speech Analysis

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