EnglishGigaspeechConformerFBank_M01

ESPnet2 ASR model

YuanyuanZhang/EnglishGigaspeechConformerFBank_M01

This model was trained by YuanyuanZhang using DSDDE recipe in espnet.

Demo: How to use in ESPnet2

Follow the ESPnet installation instructions if you haven't done that already.

cd espnet
git checkout a84abaf8d63cb989c5df9889cadf6433fc5e0b4b
pip install -e .
cd egs2/DSDDE/librispeech_960
./run.sh --skip_data_prep false --skip_train true --download_model YuanyuanZhang/EnglishGigaspeechConformerFBank_M01

<!-- Generated by scripts/utils/show_asr_result.sh -->

RESULTS

Environments

• date: Tue May 19 15:05:26 CEST 2026
• python version: 3.8.18 (default, Sep 11 2023, 13:40:15) [GCC 11.2.0]
• espnet version: espnet 202402
• pytorch version: pytorch 2.1.0
• Git hash: a84abaf8d63cb989c5df9889cadf6433fc5e0b4b
  • Commit date: Thu Jan 9 17:36:14 2025 +0100

exp/train_ft_conformer_gigaspeech

WER

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ASR config

<details><summary>expand</summary>

config: conf/tuning/train_asr_conformer_gigaspeech_ft.yaml
print_config: false
log_level: INFO
drop_last_iter: false
dry_run: false
iterator_type: sequence
valid_iterator_type: null
output_dir: exp/train_ft_conformer_gigaspeech
ngpu: 1
seed: 2022
num_workers: 2
num_att_plot: 0
dist_backend: nccl
dist_init_method: env://
dist_world_size: null
dist_rank: null
local_rank: 0
dist_master_addr: null
dist_master_port: null
dist_launcher: null
multiprocessing_distributed: false
unused_parameters: false
sharded_ddp: false
cudnn_enabled: true
cudnn_benchmark: false
cudnn_deterministic: false
collect_stats: false
write_collected_feats: false
max_epoch: 50
patience: 3
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - valid
    - acc
    - max
keep_nbest_models: 5
nbest_averaging_interval: 0
grad_clip: 5.0
grad_clip_type: 2.0
grad_noise: false
accum_grad: 4
no_forward_run: false
resume: true
train_dtype: float32
use_amp: true
log_interval: 100
use_matplotlib: true
use_tensorboard: true
create_graph_in_tensorboard: false
use_wandb: false
wandb_project: null
wandb_id: null
wandb_entity: null
wandb_name: null
wandb_model_log_interval: -1
detect_anomaly: false
use_adapter: false
adapter: lora
save_strategy: all
adapter_conf: {}
pretrain_path: null
init_param:
- /tudelft.net/staff-bulk/ewi/insy/SpeechLab/yuanyuanzhang/ESPnet202402/espnet/tools/miniconda/envs/espnet/lib/python3.8/site-packages/espnet_model_zoo/29fdff494362014b948fc19e3c753b64/exp/asr_train_asr_raw_en_bpe5000/valid.acc.ave_10best.pth
ignore_init_mismatch: true
freeze_param: []
num_iters_per_epoch: null
batch_size: 20
valid_batch_size: null
batch_bins: 2000000
valid_batch_bins: null
train_shape_file:
- exp/asr_stats_conformer_ftgigaspeech_fbank/train/speech_shape
- exp/asr_stats_conformer_ftgigaspeech_fbank/train/text_shape.bpe
valid_shape_file:
- exp/asr_stats_conformer_ftgigaspeech_fbank/valid/speech_shape
- exp/asr_stats_conformer_ftgigaspeech_fbank/valid/text_shape.bpe
batch_type: numel
valid_batch_type: null
fold_length:
- 51200
- 150
sort_in_batch: descending
shuffle_within_batch: false
sort_batch: descending
multiple_iterator: false
chunk_length: 500
chunk_shift_ratio: 0.5
num_cache_chunks: 1024
chunk_excluded_key_prefixes: []
chunk_default_fs: null
train_data_path_and_name_and_type:
-   - dump/raw/eng_kprp_V2_train_sp/wav.scp
    - speech
    - sound
-   - dump/raw/eng_kprp_V2_train_sp/text
    - text
    - text
valid_data_path_and_name_and_type:
-   - dump/raw/eng_kprp_V2_val/wav.scp
    - speech
    - sound
-   - dump/raw/eng_kprp_V2_val/text
    - text
    - text
allow_variable_data_keys: false
max_cache_size: 0.0
max_cache_fd: 32
allow_multi_rates: false
valid_max_cache_size: null
exclude_weight_decay: false
exclude_weight_decay_conf: {}
optim: adam
optim_conf:
    lr: 0.002
    weight_decay: 1.0e-06
scheduler: warmuplr
scheduler_conf:
    warmup_steps: 15000
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- ▁MISSION
- ▁QUARTER
- ▁FAIL
- ▁DAM
- ▁IMPOSSIBLE
- ▁DEVELOPED
- ▁SURPRISE
- ▁CHANGING
- ▁VIDEOS
- LUM
- ▁SUFFER
- ▁AMERICANS
- ▁DANGER
- ▁FIRM
- ▁SEEK
- ▁FEED
- ▁STEPS
- ▁SEXUAL
- ▁AVERAGE
- ▁FLAT
- ▁PROMISE
- ▁PARENT
- ▁TONIGHT
- ▁PLAYED
- ▁SCIENTIFIC
- ▁FULLY
- ▁TEACHERS
- ▁ANIMAL
- ▁ENDED
- ▁LESSON
- ▁RAISE
- ▁MENTION
- ▁WEAR
- ▁FOREIGN
- EF
- ▁ISRAEL
- ▁PRESENCE
- ▁SKIN
- ▁KINDS
- ▁ADMINISTRATION
- ▁GUIDE
- ▁JOBS
- ▁MAINTAIN
- ▁BEAUTY
- URING
- ▁CAMERA
- ▁BESIDE
- ▁KNEE
- CUR
- ▁PREFER
- ▁PRODUCTS
- ▁EFFECTIVE
- ▁BROKE
- ▁WEREN
- ▁EXPECTED
- ARIAN
- ▁TREES
- RRI
- ▁TYPES
- ▁FLA
- ▁FAMOUS
- ▁COVERED
- ▁LOAD
- ▁COPY
- ▁SCH
- ▁CREATING
- UFF
- ▁DIG
- ▁DOUBLE
- '02'
- ▁GIFT
- ULATE
- ▁MARRIAGE
- ▁LARGER
- MAR
- ▁CRISIS
- ▁SKI
- AGING
- ▁ROW
- ▁SIN
- ▁FARM
- IGHT
- ▁REFLECT
- ▁WESTERN
- ▁TIM
- ▁CLIMATE
- ▁POINTS
- LOR
- ▁GEORGE
- CIOUS
- ▁H
- ▁FILLED
- ▁SPECIES
- ▁WORKERS
- ULATION
- ▁LIN
- ▁ATTRACT
- ▁EMOTION
- ▁SIXTEEN
- ▁THOUGHTS
- ▁CRI
- ▁GATE
- ▁COMMUNICATION
- ▁PROP
- ▁ILL
- ▁CALIFORNIA
- ▁USER
- ▁PAUL
- ▁INFRASTRUCTURE
- ▁SENTENCE
- ▁FIX
- ▁TV
- ▁CITIES
- LK
- ▁SER
- ▁MODE
- ▁PIECES
- 'OFF'
- MET
- ▁STYLE
- ▁FOURTEEN
- '00'
- ▁DELIGHT
- ▁BELONG
- ▁TEA
- ▁PREDICT
- ▁COMMENTS
- HOOD
- ▁OCCUR
- ▁JOE
- ▁CONCERNED
- ▁REFER
- ▁BOW
- ▁VILLAGE
- ▁DETAIL
- ▁ARGUE
- ▁MULTI
- ▁ENTIRELY
- ▁INVENT
- ▁RING
- ▁PLUS
- ▁TRADITION
- ▁AFFAIR
- ▁HERO
- ▁PLAYER
- ▁PROGRAMS
- HOUSE
- POSITION
- ▁WEALTH
- ▁ABUSE
- GON
- ▁EXPRESSION
- ▁CY
- ▁ICE
- ▁SNOW
- ▁REALIZED
- ▁ENEMY
- ▁PACK
- TES
- ▁WANTS
- OON
- ENING
- ▁TASTE
- ▁TUR
- ▁MIL
- IB
- ▁IRON
- JO
- ▁SURVEY
- ICI
- ▁PROCEED
- ▁POLL
- ▁OWNER
- ▁REF
- ▁COLLECTION
- ▁MANAGER
- DUC
- OSE
- ▁REQUIRED
- NIGHT
- ▁BOYS
- ▁JESUS
- ▁RELATION
- VIN
- ▁FUR
- ▁SUDDEN
- ▁GREATEST
- ▁JAMES
- ▁CURIOUS
- HEL
- ATORY
- VY
- ▁ANYMORE
- UC
- ▁GRAVE
- ▁QUEEN
- ▁HEAT
- ▁PHILOSOPHY
- ▁CRIMINAL
- ▁GLO
- ▁SPEAKER
- ▁REACT
- UG
- WELL
- ▁MICRO
- ▁SHOWING
- ▁LOTS
- ▁UNDERSTOOD
- WAR
- ▁LEADER
- ▁REVOLUTION
- ▁BELIEF
- ▁CHAT
- ▁SAIL
- ▁INTELLIGENCE
- ▁AFFORD
- ▁FAVOR
- ▁SAND
- ▁TRICK
- ▁DANGEROUS
- BAR
- ▁BECOMING
- ▁MALE
- ▁BOUND
- ORY
- ▁OCEAN
- ▁TRULY
- ▁HEALTHY
- ▁SOMEHOW
- ▁TAUGHT
- ▁CONSEQUENCE
- ▁ALIVE
- ▁BASIS
- ▁FOREST
- ▁GEN
- ▁CREATURE
- ▁UNIQUE
- ▁DAN
- ▁ENTERED
- ▁OPENING
- ▁CALLING
- ▁CELLS
- ▁WILLIAM
- ▁DECISIONS
- HOLD
- ▁DATABASE
- ▁PANEL
- ▁VICTIM
- ▁FUNDAMENTAL
- ▁UNLESS
- ▁FEMALE
- DIN
- ▁INCOME
- VAN
- ▁DANCE
- ▁PREPARED
- ▁LEADING
- ▁CIRCUMSTANCES
- ▁TRADITIONAL
- ▁SHOCK
- LIES
- ▁WITNESS
- ▁CORE
- ▁HIGHLY
- ▁SHARP
- ▁INCREASING
- ▁CLUB
- ▁VOL
- ▁OPTION
- ▁OFFICER
- ▁MAJORITY
- ▁AUTHORITY
- ▁ANCIENT
- ▁CE
- ▁HOLE
- ▁REMARK
- ▁BUS
- ▁BARR
- DU
- ▁DIGITAL
- ▁FIGHTING
- ▁CANDIDATE
- ▁COAST
- OO
- BOOK
- ▁LAUNCH
- ▁SALES
- ▁ANGEL
- ▁LAID
- ▁LOUD
- ▁FAIRLY
- ▁SYN
- ▁TURNS
- ▁INVEST
- ▁MAL
- ▁TECHNICAL
- ▁EMPLOY
- ▁THIRTEEN
- ▁ADDITIONAL
- ▁NOVEL
- ▁SPEC
- ▁UPDATE
- KY
- ▁EMOTIONAL
- ▁DEFINE
- ▁COMFORT
- ▁INDIVIDUALS
- ▁MAGIC
- ROUS
- ▁EFFECTS
- ▁MILL
- ▁TRANSFORM
- ▁UNIVERSE
- IED
- ▁RUSH
- ▁DISCOVER
- ▁DAMAGE
- ▁ASSUME
- ▁FEATURES
- ▁COMPLAIN
- ▁WORST
- ▁PUR
- ▁CONFERENCE
- ▁SENIOR
- ICA
- ▁PAINT
- ▁HELPING
- ▁INCREDIBLE
- ACK
- ▁SHOULDN
- ▁POSSIBLY
- ▁
- ▁VIRUS
- ▁YO
- ▁COLLEAGUE
- ▁CONNECTED
- ▁BELIEVED
- ▁EDITOR
- ▁TWITTER
- ▁WATCHED
- ▁PLANNING
- ▁CONFLICT
- ▁MANAGE
- ▁FRANCE
- ▁EVIL
- ▁HOLDING
- ▁CUSTOM
- ▁DEL
- ▁ROUGH
- ▁BRO
- ▁GENTLEMAN
- ▁DEVELOPER
- ▁LETTERS
- SPEC
- OF
- ▁LEAVING
- ILITY
- ▁SLAVE
- ▁PERFECTLY
- ▁EMPLOYEE
- EK
- ▁TESTING
- ▁FLY
- ▁PRI
- ▁BORDER
- ▁SESSION
- ▁TURNING
- ▁NOTICED
- ▁SIGNAL
- ▁EGG
- ▁STRUCK
- UCH
- ▁FEATURE
- ▁FU
- ▁TY
- ▁LEADERS
- ▁SILENT
- BRA
- ▁TIP
- ▁CAMPUS
- ▁BLIND
- ▁WEAPON
- ▁ADOPT
- ▁AFRICAN
- ▁YOUTH
- ▁RARE
- ▁FINISHED
- ▁POCKET
- ▁HANDLE
- ▁BRIDGE
- ▁SEVENTEEN
- ▁TERROR
- ▁ONTO
- ▁CIRCLE
- OLOGIST
- ▁BRINGING
- ▁ADDITION
- ▁SPECIFICALLY
- ▁EATING
- ▁WOUND
- ▁FOURTH
- ▁WINTER
- ▁ROBERT
- ▁THOUSANDS
- ▁COLON
- ▁GOVERNOR
- ▁CONSTITUTION
- ▁MOSTLY
- ▁EXTEND
- ▁ACTIVITY
- ▁COMFORTABLE
- ERSON
- ▁INDEPENDENT
- ▁NEGATIVE
- ▁PROJECTS
- ▁PUBLISHED
- ▁BAG
- RAC
- ▁PRODUCER
- ▁CREATIVE
- ▁HUNG
- '03'
- INA
- ▁KO
- ▁CENTRE
- ▁DREW
- ▁IDENTIFY
- ▁LOCATION
- ▁NOISE
- ▁CHINESE
- ▁KEEPING
- ▁PRAY
- ▁SERVANT
- ITI
- ▁RELEASE
- ▁COUNTER
- ▁SHADOW
- ▁DESCRIBED
- ▁INITIAL
- ▁VISUAL
- RICK
- ▁APPLE
- ▁MEDICINE
- ▁PROVIDED
- ▁SURPRISED
- ▁DEFEND
- ▁SLO
- ▁SKILLS
- ▁DESIGNED
- ▁FASHION
- MMER
- ▁BUCK
- ▁FAILURE
- ▁ARRIVED
- ▁SWITCH
- ▁SCIENTISTS
- ▁APPEAL
- ▁THICK
- ▁OPPOSITE
- ▁CURRENTLY
- ▁PASSION
- ▁UNCLE
- ▁MASSIVE
- ▁ACCIDENT
- ▁ANGRY
- ▁IMPLEMENT
- ▁ARAB
- ▁BIRTH
- ▁JOURNAL
- ▁DIVIDE
- ▁TALL
- ▁OFFICERS
- ▁DUTY
- ▁KICK
- ▁AID
- ▁SHOUT
- ▁ENGAGED
- ▁BULL
- ▁BIO
- ▁TEMP
- ▁TECH
- ▁ADVANCE
- ▁SUFFERING
- ▁NECK
- ▁CULTURAL
- ▁DRUGS
- ▁DEMOCRAT
- ▁DEBT
- FORD
- ▁DESCRIPTION
- ▁SCHOLAR
- ▁NEITHER
- ▁THIN
- ZI
- ▁STRETCH
- ▁FUNDING
- UE
- ▁ANYWHERE
- ▁VAST
- ▁SUCCEED
- ▁QUAL
- ▁COACH
- ▁CAPACITY
- CHI
- ▁GRADUATE
- ▁EMPIRE
- ▁DEALING
- ▁MESS
- ▁PRACTICAL
- ▁HAM
- PAR
- ▁SHOWN
- ▁GRACE
- ▁INTENTION
- GUE
- ▁STRATEGY
- ▁CALM
- ▁APPEARANCE
- ▁EUROPEAN
- KEN
- ▁SMALLER
- ▁TINY
- ▁FRUIT
- ▁WINE
- ▁COLUMN
- BLING
- ▁UTTER
- ▁PICTURES
- ▁WOW
- ▁PAYING
- ▁HOL
- ▁PHOTOGRAPH
- ▁REG
- ▁STRANGER
- ▁MIT
- ▁PROFIT
- ▁LEN
- ▁DISAPPEAR
- ▁DRIVING
- ▁DRY
- ▁POET
- ▁OTHERWISE
- ▁OUTCOME
- ▁SOMEWHAT
- ▁HOTEL
- ▁FINISH
- ▁LAKE
- ▁CONSUMER
- ▁SHARED
- ▁REPLACE
- ▁LAYER
- OLOGICAL
- ▁COMPLICATED
- ▁FOCUSED
- ▁LAU
- ▁STORM
- ▁GOTTEN
- HR
- ▁PRESENTATION
- ▁YARD
- ▁PH
- ▁AWFUL
- ISING
- ▁ROOT
- ▁FORCES
- MATIC
- ▁CAPTURE
- ▁EXPLORE
- ▁CLO
- BACK
- ▁DEEPLY
- OVER
- ▁DIA
- ▁EVERYWHERE
- MARK
- ▁USUAL
- ▁CHAIN
- ▁NARROW
- ▁PROTECTION
- ▁RUB
- ▁GRADE
- ▁ULTIMATELY
- ▁VALLEY
- ▁MICHAEL
- ▁INTERPRET
- BERG
- CLE
- ▁LAB
- ▁OPPORTUNITIES
- ▁WISE
- ▁RUSSIAN
- ▁EXCITING
- ▁PLACED
- ▁SUPPLY
- ▁DIV
- ▁PAUSE
- ▁INVESTIGATION
- ▁REVEAL
- ▁PUBLISH
- ▁TRAFFIC
- ▁HISTORICAL
- ▁APART
- ▁BENEFITS
- ARI
- ▁DROPPED
- ▁EXPAND
- ▁ENGINE
- ▁GRAPH
- ▁DEPLOY
- ▁PRAYER
- ▁EXTENT
- ▁INVESTMENT
- ▁SLIP
- HEN
- ▁AWESOME
- ▁CAUSED
- ▁DETAILS
- ▁REFORM
- ▁FRAME
- ▁EXECUTIVE
- ▁OPTIONS
- ▁EU
- ▁ASSOCIATION
- ▁INCREDIBLY
- ▁LEADERSHIP
- ▁FALSE
- ▁PURE
- ▁WEATHER
- ▁GALL
- ▁COMPONENT
- ▁POEM
- ▁REMAINED
- ▁SUSTAIN
- ▁AWARD
- ▁DECADES
- ▁LIPS
- ▁FAILED
- ▁NEWSPAPER
- ▁DRAWING
- ▁ODD
- ▁TIGHT
- ▁OFFERED
- ▁ANXIETY
- ▁FORCED
- ▁PROPER
- ▁GLANCE
- ▁APPROPRIATE
- ▁YELLOW
- ▁HARDLY
- ▁SLIGHTLY
- ▁CUP
- LOAD
- ▁BUSINESSES
- DOWN
- ▁HAPPINESS
- ▁ACCOMPLISH
- IBILITY
- ICK
- ▁STEVE
- ▁BUN
- ▁SENATE
- ▁SOLD
- ▁RESPONSIBILITY
- ▁SHIT
- ▁TWICE
- ▁DISPLAY
- ▁JOKE
- ▁MARKETING
- TERM
- ▁RANK
- ▁WHEEL
- DDLE
- ▁LAUGHED
- ▁CUSTOMERS
- ARIES
- OTH
- HAND
- ▁EPI
- ▁SHAME
- ▁BIRD
- INESS
- ▁WORRIED
- ▁CLOTHES
- ▁LEAN
- ▁WAL
- ▁SKILL
- ▁PRIMARY
- ▁ENORMOUS
- ▁YESTERDAY
- ▁REFERENCE
- ▁SPENDING
- ▁TOUGH
- ▁BRU
- ▁CHEAP
- COMP
- ▁CONFIDENCE
- ▁WAKE
- ▁BOUGHT
- ▁BUSH
- ▁JIM
- ▁ESTABLISH
- ▁TOMORROW
- ▁CENT
- ▁SERVER
- ▁USERS
- ▁INDIA
- ▁STRIKE
- ▁SOLDIERS
- IVITY
- ▁SUBSCRIBE
- ▁COMMERCIAL
- ▁AGREEMENT
- ▁NPR
- ▁EXTRAORDINARY
- ▁KITCHEN
- ▁VERSUS
- ▁EXACT
- ▁BREAD
- ▁GROWN
- ▁COUNSEL
- ▁TEARS
- ▁SUNDAY
- ▁KINGDOM
- '0000005'
- ▁SECURE
- ▁COFFEE
- ▁ROYAL
- ▁VIRTUAL
- ▁SMITH
- ▁DEMOCRATIC
- ▁UNTO
- ITUDE
- ▁GRASS
- ▁INTERNAL
- ▁FASTER
- ▁HAN
- ▁TROOPS
- ▁HELPFUL
- ▁INCLUDED
- ▁LIMITED
- ▁CHAPTER
- ▁BIRDS
- ▁CLASSES
- ▁ACADEMIC
- ▁EXPENSIVE
- ANA
- ▁REACTION
- ▁BODIES
- ▁AGREED
- ▁ERA
- ▁SMOKE
- ▁CHRISTMAS
- ▁COMPANION
- OU
- ▁KISS
- ▁INSTITUTE
- ▁SURVIVE
- ▁INCREASED
- ▁NEIGHBORHOOD
- ▁COAL
- ▁SCORE
- ▁IDEAL
- ▁MUSLIM
- ▁IDENTITY
- ▁BUSY
- ▁UNIVERSAL
- ▁RESIDENT
- ▁SERIOUSLY
- ▁ZE
- ▁NOTION
- ▁CATHOLIC
- HAR
- ▁AMAZON
- ▁RESPONSIBLE
- ▁GAY
- ▁PULLED
- ▁CONSTANT
- ▁AFRICA
- ▁CONSTANTLY
- ▁IMPORTANCE
- ▁TIRED
- ▁DRAG
- ▁OBVIOUS
- ▁DRIVER
- ▁ISLAM
- ▁Q
- ▁GIANT
- ▁DISORDER
- ▁EXISTENCE
- ▁TAR
- ▁DEPRESSION
- ▁NOSE
- HEAD
- ▁FRI
- ▁ANALYSIS
- ▁HOLY
- CUT
- ▁SPIN
- ▁DONALD
- ▁BONE
- ▁KNOCK
- ▁SUSPECT
- ▁HOUSING
- ▁EXTREME
- ▁YOUNGER
- ▁EMPTY
- ▁FOLD
- ▁OPPOSED
- ▁RIDE
- ▁MONITOR
- ▁BIBLE
- IUS
- ▁MILK
- ▁SHARING
- ▁BOMB
- ▁PARTIES
- ▁HIGHEST
- ▁LIT
- ▁SEVERE
- ▁REPEATED
- ▁WASTE
- ▁SILVER
- ▁COURAGE
- ▁BAY
- ▁DETERMINED
- ▁TRAUMA
- ▁FAVOUR
- ▁ENGAGE
- UOUS
- ▁PICKED
- ▁INTERACT
- ▁MANAGED
- VILLE
- ▁SHORE
- ▁AUDIO
- ▁FAULT
- ▁SOUTHERN
- ▁TAIL
- '04'
- ▁ASSOCIATED
- ▁INSTRUMENT
- ▁PAIR
- ▁WONDERING
- ▁BOB
- ▁SUFFICIENT
- ▁ANXIOUS
- ▁POETRY
- ▁INVOLVE
- ▁ARREST
- ▁MINOR
- ▁INSTAGRAM
- ▁SMELL
- ▁SCHEDULE
- IEN
- ▁URGE
- ▁WRAP
- ▁DESK
- ▁WIL
- ▁HASN
- ▁TRANSPORT
- ▁DOZEN
- ▁RECOMMENDATION
- ▁FOREVER
- ▁FLASH
- ▁BRANCH
- ▁AGENT
- CHAN
- ▁FLIGHT
- ▁REWARD
- ▁ENABLE
- ▁WHISPER
- ▁BREAST
- ▁DER
- ▁MEAT
- ▁SUGAR
- ▁CAREFUL
- ▁PHILOSOPHER
- ▁MOBILE
- ▁PIPE
- ▁LEE
- ▁PERSONALLY
- ▁PLEASANT
- ▁APPROVE
- ▁TRAIL
- ▁ENTERTAIN
- ▁FACULTY
- CAN
- ▁ESTABLISHED
- ▁MARRY
- LON
- ▁PRIME
- ▁SHOE
- OV
- ▁CLOSER
- RIA
- ▁FIXED
- ▁EARN
- ▁PURCHASE
- ▁TECHNIQUE
- ▁JOINED
- ▁SCRIPT
- ▁SPOKEN
- NEW
- ▁REPORTED
- ▁ADVANCED
- ▁FARMER
- ▁GOTTA
- ▁LARGEST
- ▁COMMITTED
- ▁JEFF
- CKER
- ▁SUBMIT
- ▁HIDE
- ▁ACKNOWLEDGE
- GATE
- ▁SALT
- ▁INSPIRE
- ▁READER
- ▁SYMPTOM
- ▁ADAPT
- ▁CAO
- ▁SERVED
- ▁INSTRUCTION
- ▁DIVISION
- ▁RELEASED
- ▁GENETIC
- ▁MISSING
- ▁BOND
- ANCY
- ▁EGYPT
- ▁EVOLUTION
- Q
- ▁FEE
- ▁NURSE
- ▁ADMIT
- UNG
- ▁PILL
- ▁EXCHANGE
- ▁HOPEFULLY
- ▁INSTALL
- ▁PHRASE
- ▁EXPERIENCED
- CLOCK
- ▁CAREFULLY
- ▁COLOUR
- ▁LOVELY
- ▁STUCK
- ▁INSURANCE
- ▁DEVELOPING
- ▁TOWER
- ▁SELLING
- ▁DESERVE
- ▁DIET
- ▁PRIEST
- ▁VARIETY
- ▁RUSSIA
- ▁MOUNT
- ▁GRAY
- ▁CORN
- BASED
- ▁GREEK
- ▁STUDIO
- ▁DESERT
- ▁SENATOR
- ▁VICE
- ▁HIDDEN
- ▁LIBERAL
- ▁ACTIVITIES
- ▁TRANSITION
- ▁PHIL
- ▁WHENEVER
- ▁RESOLUTION
- ▁ERROR
- ▁INTRODUCE
- ISON
- ▁AGENCY
- ▁RAP
- ▁DYING
- ▁TELEVISION
- ▁GERMANY
- ▁VOLUME
- ▁NERVOUS
- ▁NEIGHBOR
- ▁ILLNESS
- LOW
- ▁WIRE
- ▁MUSEUM
- ▁TREATED
- ▁HEIGHT
- ▁PASSAGE
- ▁WEARING
- ▁NORTHERN
- ▁COW
- MINATION
- ▁FLAG
- ▁CUSTOMER
- ▁DEMOCRACY
- ▁PAINTING
- RATED
- WOOD
- ▁RAM
- ▁GAP
- ▁LADIES
- ▁JEWISH
- ▁CONSCIOUS
- FER
- ▁MASK
- ▁HUMANITY
- ▁REMOVE
- ▁CONFIRM
- ▁PAL
- ▁IMAGINATION
- ▁ADAM
- ▁JOURNALIST
- RATING
- ▁POLICIES
- ▁PRIVILEGE
- ▁STRIP
- ▁DRAWN
- ▁AFFECTED
- ▁VIOLENT
- ▁NUCLEAR
- FIELD
- ▁MERELY
- ▁FORTUNE
- ▁PALE
- ▁ENCOUNTER
- ▁INCIDENT
- ▁ELI
- ▁PRISONER
- ▁LUCK
- ▁JOINING
- ▁PRESENTED
- ▁MAGAZINE
- ▁SUPREME
- ▁NOBLE
- ▁FANTASTIC
- ▁CRACK
- ▁HARDER
- ▁LYING
- ▁POSSESS
- ▁CONFESS
- ▁BEHAVIOUR
- ▁OBAMA
- ▁ESTATE
- ▁SOLID
- ▁EAGER
- GGER
- ▁PLATE
- ▁TALENT
- ▁SAVED
- ▁JUDGMENT
- ▁INTELLECTUAL
- ▁OVERALL
- ▁ELECTRIC
- ▁COMMUNICATE
- ▁ZONE
- ▁EXPLAINED
- ▁DICK
- ▁EXPLANATION
- ▁ANGER
- ▁BEACH
- ▁APPARENTLY
- ▁ORIGIN
- ▁FORGIVE
- ▁COUSIN
- ▁GOLDEN
- ▁POSSIBILITY
- ▁PERMIT
- ▁PLEASED
- ▁ALTERNATIVE
- ▁AFTERWARDS
- ▁CONSISTENT
- ▁METAL
- PU
- ▁VALUABLE
- ▁RANDOM
- KO
- ▁LITERATURE
- ▁RESTAURANT
- ▁CRITIC
- ▁BAL
- ▁SLATE
- ▁LOGIC
- ▁EMERGE
- ▁FUCK
- ▁RECORDING
- ▁SUGGESTED
- ▁COMPARED
- ▁ALEX
- ▁PEA
- ▁RUIN
- ▁RESOLVE
- ▁DRIVEN
- ▁CABIN
- LESSLY
- ▁NEURO
- LIA
- ▁OCCURRED
- ▁POTENTIALLY
- ▁OBTAIN
- ▁MATH
- ▁PROVIDER
- ILLA
- ▁CHAMBER
- ▁DEFINITION
- ▁LUNCH
- ▁EXCUSE
- ▁SWORD
- ▁CLE
- BURG
- ▁CLOTH
- '05'
- ▁MARILLA
- LAW
- ▁CHART
- ▁CONCLUSION
- ▁FOOL
- ▁HACK
- ASE
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- ▁FANCY
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- ▁RELATIVE
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- ▁SEC
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- ▁EVOLVE
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- ▁ASSOCIATE
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- ▁PACKAGE
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- ▁AMENDMENT
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- PHA
- ▁DANIEL
- ▁PRECISE
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- ▁RACIAL
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- ▁EXPOSED
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- ▁BRITAIN
- ▁NEIGHBOUR
- ▁INVITED
- ▁SWIFT
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- ▁LIBERTY
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- ▁HOPING
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- ▁VENTURE
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- <sos/eos>
init: null
input_size: null
ctc_conf:
    dropout_rate: 0.0
    ctc_type: builtin
    reduce: true
    ignore_nan_grad: null
    zero_infinity: true
    brctc_risk_strategy: exp
    brctc_group_strategy: end
    brctc_risk_factor: 0.0
joint_net_conf: null
use_preprocessor: true
use_lang_prompt: false
use_nlp_prompt: false
token_type: bpe
bpemodel: /tudelft.net/staff-bulk/ewi/insy/SpeechLab/yuanyuanzhang/ESPnet202402/espnet/tools/miniconda/envs/espnet/lib/python3.8/site-packages/espnet_model_zoo/29fdff494362014b948fc19e3c753b64/data/en_token_list/bpe_unigram5000/bpe.model
non_linguistic_symbols: null
cleaner: null
g2p: null
speech_volume_normalize: null
rir_scp: null
rir_apply_prob: 1.0
noise_scp: null
noise_apply_prob: 1.0
noise_db_range: '13_15'
short_noise_thres: 0.5
aux_ctc_tasks: []
frontend: default
frontend_conf:
    n_fft: 512
    hop_length: 160
    fs: 16k
specaug: null
specaug_conf:
    apply_time_warp: true
    time_warp_window: 5
    time_warp_mode: bicubic
    apply_freq_mask: true
    freq_mask_width_range:
    - 0
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    num_freq_mask: 2
    apply_time_mask: true
    time_mask_width_ratio_range:
    - 0.0
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    num_time_mask: 5
normalize: utterance_mvn
normalize_conf: {}
model: espnet
model_conf:
    ctc_weight: 0.3
    lsm_weight: 0.1
    length_normalized_loss: false
    extract_feats_in_collect_stats: false
preencoder: null
preencoder_conf: {}
encoder: conformer
encoder_conf:
    output_size: 512
    attention_heads: 8
    linear_units: 2048
    num_blocks: 12
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    attention_dropout_rate: 0.1
    input_layer: conv2d
    normalize_before: true
    macaron_style: true
    rel_pos_type: latest
    pos_enc_layer_type: rel_pos
    selfattention_layer_type: rel_selfattn
    activation_type: swish
    use_cnn_module: true
    cnn_module_kernel: 31
postencoder: null
postencoder_conf: {}
decoder: transformer
decoder_conf:
    attention_heads: 8
    linear_units: 2048
    num_blocks: 6
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    self_attention_dropout_rate: 0.1
    src_attention_dropout_rate: 0.1
preprocessor: default
preprocessor_conf: {}
required:
- output_dir
- token_list
version: '202402'
distributed: false

</details>

Citing ESPnet

@inproceedings{watanabe2018espnet,
  author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
  title={{ESPnet}: End-to-End Speech Processing Toolkit},
  year={2018},
  booktitle={Proceedings of Interspeech},
  pages={2207--2211},
  doi={10.21437/Interspeech.2018-1456},
  url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
}

or arXiv:

@misc{watanabe2018espnet,
  title={ESPnet: End-to-End Speech Processing Toolkit},
  author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
  year={2018},
  eprint={1804.00015},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}