Analyzing Language 2018
Core Curriculum Uni Bern
Core Curriculum Uni Bern
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Examples of variables/values for magazine cover content analysis
Social distance: intimate, personal, social, public
Contact: offer image or demand image
Modality: how real does it look – high, medium, low
Envisaging a three-step research design
- description: grounding your analysis quantitatively, possible method = (visual) content analysis
- interpretation: selecting dominant features or practices for deeper inspection, possible method = d-discourse analysis or social semiotics
- critique: situating your “findings” in a bigger cultural context, possible methods = critical D-discourse studies
Phonetic Analysis
Articulatory analysis, Auditory analysis, Acoustic analysis
Articulatory analysis
...describes shapes and movements of articulators that influence sound qualities
Articulatory phonetics describes how the human speech organs, also called vocal organs, or articulators, in the vocal tract are used in order to produce, or articulate, speech sounds. Analysis of the anatomy of your speech organs and on speech production
Auditory analysis
...describes perceived sound qualities
Auditory phonetics investigates the perception of speech sounds by the listener, i.e. how the sounds are transmitted from the ear to the brain, and how they are processed.
Even though we will mainly be concerned with articulatory phonetics in this module, you will find various exercises that will challenge your perception. Analysis of how your ears and brain work while perceiving language.
Acoustic analysis
...measures sound qualities
Acoustic phonetics studies the physical properties of speech sounds, i.e. the nature of sound waves produced in human language.
Collecting data for phonetic analysis: Methods
Methods
- Interviews (sociolinguistic interview)
- Self-recordings
- Ethnographic techniques
- (Phone interviews)
Collecting data for phonetic analysis: Setting
Setting
● No/very little background noise (esp. acoustic analysis)
Collecting data for phonetic analysis: Recording & equipment
Recording & equipment
Voice recorder
Microphone
Always use the same equipment
Always use equipment in the same way (e.g. mic distance)
Sample rate: 44100 Hz/44 KHz (esp. acoustic analysis)
Avoid clipping in recording
Collecting data for phonetic analysis: Data storage
Avoid file compression
Make copies: store in multiple places/platforms e.g. the cloud, USB etc.
Remote fieldwork/ high risk of loss during fieldwork: send data home midway through
Processing data: Transcribing
What to bear in mind, units of speech, why time-aligned?
- Time-aligned transcription and audio
- Transcription software
- ELAN, PRAAT
Bear in mind the following when orthographically transcribing:
Always mark uncharacteristic speech
Write out numbers in full e.g. three, two hundred and fifty six
Leave contractions as they are e.g. dunno, not do not know
Units of speech:
E.g. speaking turns
Why time-aligned transcription?
Identification of tokens should be based on transcript, not on audio
Avoid biases
Principle of Accountability
Processing data: Transcribing: Discrepancies / IPA
Discrepancies in (English) spelling
different spelling → same sound: Phoenix, key
same spelling → different/no sound: ski, sister, business
→ need to avoid ambiguity
International Phonetic Alphabet (IPA)
Each sound represented by one symbol and vice versa
Standard tool in phonetics/phonology
Letter symbols (sound)
Diacritics (sound qualities)
Suprasegmentals (intonation, stress)
Reference models for spoken English
GA (General American)
educated northern US, no local or regional features
E.g. <bath> → /bæθ/
RP (Received Pronunciation)
- British Isles (“Oxford English”, “Queen’s English”)
E.g. <bath> → /bɑθ/
Forced alignment
Automatic time-aligned phonemic transcription
Based on an orthographic transcription + audio file
Manually check potential alignment and/or transcription errors
Manually adjust alignment and/or transcription if necessary
Selecting tokens
● Follow Principle of Accountability
● Exclude
Uncharacteristic speech
Overly emotional speech
Cut-off tokens
Tokens affected by background noise
The first two stages of auditory, articulatory and acoustic analysis
data collection and transcription
○ Additional requirements for phonetic analysis
○ IPA
○ Orthographic transcription
○ Token selection
Source-Filter Model
- A handy model for explaining the processes involved in speech production
- We can use this to map articulatory phonetics onto acoustic phonetics (and vice versa)
- Basic premise: there are two independent parts:
1. The source - the sound produced at the glottis
2. The filter - the shape/constriction in the vocal tract
Source-Filter Model: Process
The frequency at which the folds open and close determines the fundamental pitch of a sound – (the source determines pitch)
The filter then determines the quality of the sound - whether it’s a /i/ or a /t/
The filter (the vocal tract) suppresses and lets through sound energy at certain frequencies, depending on its length and shape
Sound energy thereby gathers at certain frequencies, in peaks – we call these formants.
Formants tell us a lot about the sound’s character/quality
Processing data: Coding vowels
Vowel qualities (monophthongs)
Vowel qualities (monophthongs)
IPA Vowel chart: high - low, front - back, open - close
Processing data: Coding vowels
Vowel formants (monophthongs)
Vowel formants (monophthongs)
Vowel quality
Vowel formant
height - F1
front/back - F2
(roundedness - F3)
Processing data: Coding vowels
Visualization of vowels (monophthongs)
Visualization of vowels (monophthongs)
waveform, spectogram, segments
F3, F2, F1 = formants
Vowel onset/offset:
- Start/end of the first/last cycle of regular, repeating sine wave (waveform)
Start/end of complete set of dark bands for first 3 formants (spectrogram)
Single point measurements
Midpoint approach: 50%
Maximal displacement method: 30% or maximum F1
pros: simple, fast
con: oversimplification
Multiple point measurements
Default distance approach (e.g. 25 ms from each edge)
Maximal displacement approach (e.g. 33% + 66%)
Proportional distance approach (e.g. 20% + 50% + 80%)
Interval approach (e.g. every 25 ms)
pro: movement/dynamic
con: lots of data points make analysis more complicated, time consuming
Maximal displacement approach
Proportional distance approach
Measuring vowel formants in PRAAT
open PRAAT
in PRAAT objects window
→ Open
→ Read from file
→ select sound file (.wav) and textgrid (.textgrid)
→ highlight both files, click View & Editin wave form/spectrogram window
→ go to Formant
→ check Show formants
→ place cursor at point of measurement
→ go to Formant
→ select Formant listings
Measuring vowel duration
determine vowel onset and offset
measure from onset to offset
Token selection
Primary stress
Preferably CVC environment (stops, fricatives, affricates)
Pay attention to phonological environment/coarticulation effects
Interpreting data: Vowels
What to do with all those measurements?
● Descriptive statistics (plotting)
● Plotting software
○ Excel
○ PRAAT
○ NORM suite
○ R
● Inferential statistics
E.g. establishing correlations, estimate change over time, etc.
Determine statistical significance of findings
Supplement descriptive statistics
If you want to compare speakers...
Normalize your (acoustic) data!
Filter out variation caused by physiological differences while preserving sociolinguistic/dialectal/cross-linguistic differences in vowel quality
Processing data: Coding consonants (Visualization)
Much like vowels, we can measure the quality of consonants on Praat
They have standard formations in both the waveform and spectrograms
These are due to the manner and (albeit less so) the place of articulation of the consonant
Visualization of consonants: Fricatives
Aperiodic waveform
Place of articulation determines at which frequencies the energy gathers
Visualization of consonants: Nasals
- Similar to vowels, with less amplitude in the higher frequencies
Visualization of consonants: Plosives
Spectrograms reflect the articulatory process of closure and release
Silence, then a high intensity period
Measuring consonants
Consonants can be analysed in various ways
Methodology can be determined by particular variable and/or researcher’s preference
VOT
Voiced and Voiceless Consonants - VOT
When we hear a plosive, we determine whether its voiced or voiceless from the Voice Onset Time (VOT)
This is the time between the release and the beginning of the voicing
can be analysed in PRAAT
We can use this in speech perception and dialectological studies
Choice of analysis methodology should take into account the variable, the researcher and extensive up-to-date methodology research
H-Dropping
Very well researched variable in the UK, highly salient and commonly stigmatised
Recently: Dahou & Hamlin (2016) - ‘Ow Cockney is Beckham Twenty Years On? An Investigation into H-dropping and T-glottaling’
They used transcription and alignment software to process their data, but then did the analysis themselves, auditorily.
Processing data: Coding intonation
Pitch variation across segmental features
Does not affect meaning of individual words, i.e. not like tone in languages like Mandarin or Navajo
But does convey semantic content
Varies across languages, but also dialects, so we can analyse it for social/cultural meaning
Upspeak - High Rising Terminals (HRT) – Rising Intonation
Rising intonation in declarative sentences
Associated strongly with GA and Southern Hemisphere English varieties such as Australian and NZ English
“Valley Girl” connotations, but now widely used by both genders and in all regions of the US
Indexicalises dialect on a macro level, but what about the immediate context?...
Discourse functions? Why would we employ HRT?
What does it signify to the listener in terms of interactional behaviour?
Turn-taking: Intonation
End of turn is usually marked by semantic, syntactic and prosodic features
We use syllable length, pauses and rhythm to understand the speaker is about to finish their utterance
Content and visual queues are also obviously relied upon
How people perform turn-taking can vary between and in dialects/speech communities/individuals
We can use auditory and acoustic methods to measure them