Aussprachebewertung annotieren
So baust du in Potato eine Aufgabe zur Bewertung der Aussprachequalität: Audiowiedergabe, Wellenformdarstellung, Likert-Skalen und Freitextfelder für Rückmeldungen pro Aufnahme.
Aussprachebewertung begegnet einem in Sprachlern-Apps, in der Logopädie und im Akzenttraining. Dieses Tutorial zeigt, wie du Oberflächen baust, um Aussprachequalität zu bewerten, einzelne Fehler zu markieren und ausführliche Rückmeldungen zu schreiben. Die Audio-Funktionen dahinter stehen in der Dokumentation zur Audio-Annotation.
Einfache Aussprachebewertung
annotation_task_name: "Pronunciation Assessment"
task_dir: "."
data_files:
- data/learner_recordings.json
item_properties:
id_key: id
text_key: target_text
instance_display:
fields:
- key: target_text
type: text
label: "Target sentence"
- key: audio_path
type: audio
label: "Learner recording"
display_options:
controls: true
show_waveform: true
annotation_schemes:
- annotation_type: likert
name: overall_quality
description: "Overall pronunciation quality"
size: 5
min_label: "Very poor"
max_label: "Excellent"
label_requirement:
required: true
output_annotation_dir: annotation_output/
export_annotation_format: jsonl
user_config:
allow_all_users: trueKonfiguration für eine ausführliche Bewertung
annotation_task_name: "Detailed Pronunciation Assessment"
task_dir: "."
data_files:
- data/recordings.json
item_properties:
id_key: id
text_key: sentence
instance_display:
fields:
- key: sentence
type: text
label: "Target text"
- key: native_language
type: text
label: "First language"
- key: learner_audio
type: audio
label: "Learner recording"
display_options:
controls: true
show_waveform: true
- key: native_audio
type: audio
label: "Native reference"
display_options:
controls: true
annotation_schemes:
- annotation_type: likert
name: overall
description: "Overall pronunciation quality"
size: 5
min_label: "Very poor"
max_label: "Excellent"
label_requirement:
required: true
- annotation_type: likert
name: intelligibility
description: "How understandable is the speaker?"
size: 5
min_label: "Unintelligible"
max_label: "Perfectly clear"
label_requirement:
required: true
- annotation_type: likert
name: accent_strength
description: "How strong is the foreign accent?"
size: 5
min_label: "No accent"
max_label: "Very strong"
- annotation_type: likert
name: intonation
description: "Intonation and rhythm"
size: 5
min_label: "Unnatural"
max_label: "Native-like"
- annotation_type: likert
name: fluency
description: "Fluency, meaning smoothness and pausing"
size: 5
min_label: "Very disfluent"
max_label: "Very fluent"
- annotation_type: multiselect
name: error_types
description: "What errors are present? Select all that apply."
labels:
- Vowel errors
- Consonant errors
- Word stress errors
- Sentence intonation errors
- Rhythm or timing errors
- Added sounds
- Deleted sounds
- Substituted sounds
- No significant errors
- annotation_type: text
name: problem_words
description: "List any mispronounced words"
placeholder: "e.g. 'thought' pronounced as 'taught'"
label_requirement:
required: false
- annotation_type: radio
name: native_comparison
description: "Compared to the native reference"
labels:
- Very different
- Somewhat different
- Fairly similar
- Very similar
- Indistinguishable
- annotation_type: likert
name: confidence
description: "Your confidence in this assessment"
size: 5
min_label: "Low"
max_label: "High"
output_annotation_dir: annotation_output/
export_annotation_format: jsonlBewertung auf Wortebene
Für ausführliche Rückmeldung zu einzelnen Wörtern und Phonemen:
annotation_schemes:
- annotation_type: multirate
name: word_ratings
description: "Rate the pronunciation of each word"
options:
- "the"
- "weather"
- "is"
- "really"
- "nice"
- "today"
labels:
- Poor
- Fair
- Good
arrangement: verticalAnnotation auf Phonemebene
Für die Sprachforschung:
data_files:
- data/phoneme_data.json
item_properties:
id_key: id
text_key: expected_phonemes
annotation_schemes:
- annotation_type: speech_transcript
name: phonemes
description: "Mark substitutions, deletions, and insertions against the expected phonemes"
segments_key: expected_phonemes
error_types:
- substitution
- deletion
- insertion
allow_correction: trueVollständige Konfiguration
annotation_task_name: "L2 English Pronunciation Assessment"
task_dir: "."
data_files:
- data/esl_recordings.json
item_properties:
id_key: id
text_key: target_sentence
instance_display:
fields:
- key: target_sentence
type: text
label: "The learner was asked to say"
- key: native_language
type: text
label: "First language"
- key: proficiency_level
type: text
label: "Level"
- key: audio_url
type: audio
label: "Recording"
display_options:
controls: true
show_waveform: true
annotation_instructions: |
## Pronunciation Assessment Guidelines
### Rating scales
**Overall score (1-9)**
- 1-3: significant difficulty, hard to understand
- 4-6: noticeable accent, still understandable
- 7-9: minor issues through to native-like
**Comprehensibility** is how much effort understanding takes. Ignore the
accent where the message is clear.
**Accentedness** is the degree of foreign accent, judged independently of
whether you understood it.
### What to listen for
Individual sounds, word stress, sentence intonation, and speaking rate.
### Tips
Listen at least twice. Use slow playback for the details. Be consistent
across recordings rather than across raters.
annotation_schemes:
- annotation_type: likert
name: overall_score
description: "Overall pronunciation score"
size: 9
min_label: "Very poor"
max_label: "Native-like"
label_requirement:
required: true
- annotation_type: likert
name: comprehensibility
description: "How easy is it to understand?"
size: 9
min_label: "Very hard"
max_label: "Very easy"
label_requirement:
required: true
- annotation_type: likert
name: accentedness
description: "How strong is the foreign accent?"
size: 9
min_label: "No accent"
max_label: "Very strong"
- annotation_type: likert
name: vowels
description: "Vowel pronunciation accuracy"
size: 5
min_label: "Poor"
max_label: "Excellent"
- annotation_type: likert
name: consonants
description: "Consonant pronunciation accuracy"
size: 5
min_label: "Poor"
max_label: "Excellent"
- annotation_type: likert
name: word_stress
description: "Word stress patterns"
size: 5
min_label: "Incorrect"
max_label: "Correct"
- annotation_type: likert
name: sentence_intonation
description: "Sentence intonation"
size: 5
min_label: "Unnatural"
max_label: "Natural"
- annotation_type: likert
name: fluency
description: "Speaking fluency"
size: 5
min_label: "Disfluent"
max_label: "Fluent"
- annotation_type: multiselect
name: common_errors
description: "Check all that apply"
labels:
- Th-sounds (think, this)
- R-sounds
- L-sounds
- Vowel length
- Final consonants dropped
- Consonant clusters simplified
- Word stress on wrong syllable
- Flat intonation
- No errors detected
label_requirement:
required: false
- annotation_type: text
name: feedback
description: "Specific words or sounds that need work"
rows: 4
placeholder: "e.g. 'world' - /r/ needs work; 'through' - th sound"
label_requirement:
required: false
- annotation_type: radio
name: confidence
description: "How confident are you in your ratings?"
labels:
- Not confident
- Somewhat confident
- Very confident
training:
enabled: true
data_file: data/calibration_recordings.json
annotation_schemes: ["overall_score", "comprehensibility"]
passing_criteria:
min_correct: 4
allow_retry: true
phases:
order: [training, annotation]
training:
type: training
file: data/calibration_recordings.json
output_annotation_dir: annotation_output/
export_annotation_format: jsonl
user_config:
allow_all_users: trueAusgabeformat
{
"overall_score": "6",
"comprehensibility": "7",
"accentedness": "5",
"vowels": "4",
"consonants": "3",
"word_stress": "4",
"sentence_intonation": "3",
"fluency": "4",
"common_errors": ["Th-sounds (think, this)", "R-sounds"],
"feedback": "'weather' - th sound; 'really' - r sound",
"confidence": "Very confident"
}Hinweise zur Aussprachebewertung
Bewertet zu Beginn ein paar Beispielaufnahmen gemeinsam, damit sich alle auf denselben Maßstab einpendeln. Halte Referenzaufnahmen bereit, an denen du deine Bewertungen ausrichten kannst. Hör mindestens zweimal hin: einmal für den Gesamteindruck, dann noch einmal für die Details. Nimm ordentliche Kopfhörer, Handylautsprecher kosten dich Genauigkeit. Und wer schon etwas Phonetik im Rücken hat, kommt schneller rein.
Nächste Schritte
- Ergänze Transkription für das, was tatsächlich gesagt wurde
- Richte Prüfungen der Übereinstimmung zwischen Bewertenden ein
- Lies, wie sich Aussprachebewertungen per Crowdsourcing erheben lassen
Vollständige Audio-Dokumentation unter Audio-Annotation.