add model files

README.md

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+---
+tags:
+- espnet
+- audio
+- automatic-speech-recognition
+language: en
+datasets:
+- swbd
+license: cc-by-4.0
+---
+
+## ESPnet2 ASR model 
+
+### `pyf98/swbd_e_branchformer`
+
+This model was trained by Yifan Peng using swbd recipe in [espnet](https://github.com/espnet/espnet/).
+
+References:
+- [E-Branchformer: Branchformer with Enhanced merging for speech recognition (SLT 2022)](https://arxiv.org/abs/2210.00077)
+- [Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding (ICML 2022)](https://proceedings.mlr.press/v162/peng22a.html)
+
+### Demo: How to use in ESPnet2
+
+Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
+if you haven't done that already.
+
+```bash
+cd espnet
+git checkout ee573bc6f5de4309c1e29137294a7305d9175e65
+pip install -e .
+cd egs2/swbd/asr1
+./run.sh --skip_data_prep false --skip_train true --download_model pyf98/swbd_e_branchformer
+```
+
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Tue Dec 27 05:05:40 CST 2022`
+- python version: `3.9.15 (main, Nov 24 2022, 14:31:59)  [GCC 11.2.0]`
+- espnet version: `espnet 202211`
+- pytorch version: `pytorch 1.12.1`
+- Git hash: `ef3ce328551c12c03284defc757f42df47c46170`
+  - Commit date: `Mon Dec 26 20:34:28 2022 -0500`
+
+## asr_train_asr_e_branchformer_e12_size256_mlp1024_linear1024_macaron_raw_en_bpe2000_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.acc.ave/eval2000/hyp.callhm.ctm.filt.sys|2628|21594|88.7|8.4|2.9|2.1|13.4|46.2|
+|decode_asr_asr_model_valid.acc.ave/eval2000/hyp.ctm.filt.sys|4459|42989|91.2|6.1|2.8|1.5|10.4|41.5|
+|decode_asr_asr_model_valid.acc.ave/eval2000/hyp.swbd.ctm.filt.sys|1831|21395|93.7|3.7|2.6|1.0|7.3|34.8|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.acc.ave/eval2000|4322|181952|93.1|3.3|3.6|10.7|17.7|67.7|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.acc.ave/eval2000|4322|47227|83.0|12.6|4.4|15.3|32.3|67.7|
+
+## ASR config
+
+<details><summary>expand</summary>
+
+```
+config: conf/tuning/train_asr_e_branchformer_e12_size256_mlp1024_linear1024_macaron.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_e_branchformer_e12_size256_mlp1024_linear1024_macaron_raw_en_bpe2000_sp
+ngpu: 1
+seed: 2022
+num_workers: 4
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: 2
+dist_rank: 0
+local_rank: 0
+dist_master_addr: localhost
+dist_master_port: 37983
+dist_launcher: null
+multiprocessing_distributed: true
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 100
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 10
+nbest_averaging_interval: 0
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: true
+log_interval: null
+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
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 40000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_bpe2000_sp/train/speech_shape
+- exp/asr_stats_raw_en_bpe2000_sp/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_en_bpe2000_sp/valid/speech_shape
+- exp/asr_stats_raw_en_bpe2000_sp/valid/text_shape.bpe
+batch_type: numel
+valid_batch_type: null
+fold_length:
+- 80000
+- 150
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train_nodup_sp/wav.scp
+    - speech
+    - kaldi_ark
+-   - dump/raw/train_nodup_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/train_dev/wav.scp
+    - speech
+    - kaldi_ark
+-   - dump/raw/train_dev/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.002
+    weight_decay: 1.0e-06
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 50000
+token_list:
+- <blank>
+- <unk>
+- ▁i
+- ''''
+- s
+- ▁and
+- ▁the
+- ▁you
+- ▁that
+- ▁a
+- ▁it
+- ▁uh
+- ▁to
+- t
+- ▁of
+- ▁know
+- ▁they
+- '-'
+- ▁in
+- ▁we
+- ']'
+- ▁[
+- ▁yeah
+- ▁have
+- ▁but
+- ▁so
+- ▁was
+- ▁like
+- re
+- ▁um
+- ▁just
+- ▁well
+- ▁do
+- m
+- ▁for
+- ing
+- ▁think
+- ▁don
+- d
+- ▁is
+- ▁there
+- ▁or
+- ▁on
+- ▁be
+- noise
+- ▁what
+- ▁oh
+- laughter
+- ▁my
+- ed
+- ve
+- ▁not
+- ▁really
+- ▁with
+- ▁he
+- n
+- ▁one
+- ▁if
+- ▁are
+- ▁all
+- ▁get
+- ▁right
+- ▁about
+- ▁can
+- ▁because
+- ▁out
+- ▁had
+- ▁up
+- ▁them
+- ▁lot
+- ▁at
+- ▁this
+- ▁would
+- ▁when
+- ▁go
+- ▁some
+- er
+- ▁people
+- ▁no
+- ▁mean
+- ▁kind
+- ▁then
+- a
+- v
+- ▁good
+- e
+- ll
+- ▁now
+- ▁got
+- ▁me
+- p
+- ▁time
+- o
+- ▁she
+- ▁as
+- ▁going
+- y
+- ▁see
+- ▁more
+- ▁were
+- ly
+- ▁been
+- ▁from
+- ▁too
+- ▁an
+- ▁things
+- ▁how
+- ▁something
+- ▁your
+- ▁where
+- ▁much
+- ▁guess
+- c
+- r
+- ▁little
+- ▁here
+- ▁s
+- ▁thing
+- ▁our
+- u
+- g
+- ocalized
+- ▁very
+- ▁did
+- b
+- ▁their
+- ▁other
+- ▁work
+- le
+- ▁could
+- ▁okay
+- i
+- ▁even
+- al
+- ▁c
+- ▁two
+- huh
+- ▁way
+- ▁say
+- or
+- in
+- ▁any
+- ▁has
+- ▁years
+- ▁want
+- ▁t
+- f
+- ▁back
+- ▁down
+- ▁those
+- ▁pretty
+- ▁probably
+- ▁re
+- ▁who
+- ▁home
+- ▁didn
+- ▁real
+- ▁year
+- ▁take
+- ▁over
+- ▁yes
+- ▁than
+- ▁sure
+- ▁into
+- ar
+- hum
+- an
+- l
+- ▁school
+- ▁put
+- ▁stuff
+- k
+- ▁make
+- ▁kids
+- ▁her
+- ▁said
+- ▁by
+- ▁never
+- ▁which
+- ▁off
+- w
+- ▁went
+- ▁b
+- ▁car
+- ▁only
+- ion
+- ▁big
+- ▁always
+- ▁around
+- ▁money
+- ▁these
+- ▁day
+- ▁anything
+- ▁three
+- ▁nice
+- ▁doing
+- ri
+- ▁need
+- ▁come
+- ▁f
+- ▁actually
+- ▁will
+- ▁maybe
+- ▁care
+- ▁him
+- ▁de
+- ent
+- ▁still
+- ▁v
+- ▁should
+- ▁new
+- ▁used
+- ch
+- ▁five
+- ▁
+- th
+- ▁long
+- ▁p
+- ▁sort
+- ▁e
+- ▁his
+- ter
+- 'on'
+- ▁most
+- ▁house
+- ▁bit
+- ▁old
+- ▁every
+- ▁different
+- ck
+- ▁last
+- ▁let
+- ▁use
+- il
+- ▁us
+- ▁many
+- ▁look
+- es
+- ▁course
+- ▁getting
+- ur
+- ▁true
+- ▁everything
+- ic
+- ▁feel
+- ▁first
+- ▁part
+- ▁does
+- ▁pay
+- ▁great
+- it
+- ▁hard
+- ▁same
+- ▁thought
+- en
+- ▁problem
+- ▁also
+- ▁keep
+- at
+- ▁d
+- ers
+- ▁through
+- ▁o
+- ▁doesn
+- ies
+- ▁children
+- ▁four
+- ▁find
+- ▁done
+- ▁th
+- ment
+- ▁before
+- ▁far
+- ▁though
+- ▁area
+- ate
+- ▁haven
+- ▁w
+- ▁ever
+- ▁being
+- li
+- ▁family
+- ▁bad
+- ▁seems
+- se
+- ▁live
+- ation
+- ▁whole
+- ▁fact
+- ▁own
+- ▁n
+- ▁why
+- ▁huh
+- ▁play
+- ▁talking
+- ▁tell
+- ▁better
+- ▁interesting
+- ▁another
+- h
+- ▁place
+- ▁try
+- ▁trying
+- ro
+- ▁ten
+- ▁twenty
+- ▁else
+- ol
+- ▁watch
+- ▁read
+- te
+- ▁type
+- ▁quite
+- ▁job
+- ir
+- ▁hundred
+- ▁high
+- ▁call
+- ▁after
+- ow
+- ▁ago
+- ▁give
+- ra
+- ▁couple
+- ▁enough
+- us
+- ▁whatever
+- ke
+- ▁either
+- ▁start
+- ▁m
+- ▁having
+- ▁texas
+- ▁somebody
+- el
+- ▁husband
+- ▁sometimes
+- ▁dollars
+- ▁usually
+- ▁show
+- ▁help
+- ce
+- ▁while
+- ▁few
+- ▁away
+- ▁y
+- ▁ha
+- ▁se
+- ▁college
+- ▁system
+- able
+- ▁might
+- ▁ma
+- ▁heard
+- ▁r
+- ne
+- is
+- ▁person
+- ▁once
+- ▁made
+- ▁point
+- ▁six
+- ▁fun
+- ▁g
+- ▁week
+- ▁buy
+- ▁seen
+- ▁state
+- ▁anyway
+- ▁again
+- ▁pa
+- ▁love
+- ▁gonna
+- ▁dallas
+- ▁started
+- ▁pro
+- ▁exactly
+- ▁country
+- ▁life
+- ▁enjoy
+- ▁everybody
+- ive
+- id
+- ▁talk
+- ▁night
+- ▁able
+- est
+- ▁lo
+- ▁may
+- ▁stay
+- ▁remember
+- ▁news
+- ▁mo
+- um
+- ▁came
+- ▁co
+- ▁hear
+- et
+- ▁end
+- ▁least
+- tion
+- ▁working
+- ▁h
+- lo
+- ▁un
+- ▁sa
+- un
+- ▁po
+- ul
+- ▁boy
+- ▁since
+- age
+- ▁change
+- ▁di
+- ▁idea
+- ▁both
+- ▁agree
+- ▁st
+- ▁program
+- ▁pre
+- ▁dis
+- ▁ra
+- ist
+- ▁almost
+- ▁run
+- ▁someone
+- ▁con
+- ▁fl
+- ▁dog
+- ry
+- ▁reason
+- ▁ho
+- ▁took
+- ▁believe
+- co
+- ▁bye
+- ▁company
+- ▁eight
+- ▁times
+- ▁half
+- ▁wife
+- ▁la
+- ▁ba
+- ▁isn
+- ▁paper
+- ▁deal
+- ▁goes
+- ▁l
+- ▁sp
+- ▁hand
+- ant
+- ▁guy
+- ▁called
+- ▁next
+- ▁close
+- ▁month
+- ▁thirty
+- ▁wanted
+- ▁thousand
+- ▁yet
+- ▁understand
+- ▁cost
+- ▁pick
+- ▁drive
+- am
+- z
+- ▁mi
+- ut
+- ▁looking
+- ▁ro
+- ▁child
+- ▁government
+- ▁crime
+- ▁tax
+- ▁spend
+- ▁women
+- ▁parents
+- ▁days
+- ▁especially
+- ▁cut
+- ac
+- ▁li
+- me
+- ure
+- ▁saying
+- ▁name
+- ▁wow
+- ▁eat
+- ▁gone
+- ▁whether
+- ▁happen
+- ▁k
+- ▁less
+- ver
+- ▁bu
+- ▁ga
+- ated
+- ▁small
+- ity
+- ▁saw
+- ge
+- ▁sounds
+- ▁supposed
+- ▁number
+- ▁world
+- ▁mother
+- ▁music
+- ▁hi
+- ▁set
+- ▁such
+- ▁until
+- ▁movie
+- ▁credit
+- ▁bo
+- ▁bought
+- ▁turn
+- ▁am
+- ▁city
+- ▁myself
+- ▁u
+- ▁walk
+- ▁food
+- ting
+- ▁seem
+- ▁problems
+- ▁j
+- ▁ex
+- ▁computer
+- ▁makes
+- end
+- ▁le
+- ▁man
+- ▁found
+- ▁percent
+- ▁together
+- ▁sit
+- la
+- ▁hum
+- ▁coming
+- im
+- ▁basically
+- ▁young
+- ▁best
+- ▁listen
+- ance
+- ▁water
+- ▁check
+- ▁son
+- ▁business
+- ▁seven
+- ▁summer
+- ▁each
+- ▁situation
+- ▁sh
+- ▁war
+- ▁worked
+- ward
+- ▁side
+- ru
+- x
+- ▁air
+- ▁ti
+- ie
+- ▁definitely
+- ▁certain
+- ▁game
+- ▁won
+- ▁wh
+- ▁wonderful
+- ▁wonder
+- ▁matter
+- if
+- ▁public
+- de
+- ▁lived
+- op
+- ma
+- he
+- ▁comp
+- ▁sc
+- ▁fifty
+- ▁certainly
+- ▁cook
+- ▁fa
+- ▁funny
+- ▁cat
+- ▁room
+- na
+- ▁nothing
+- ty
+- ▁class
+- ▁health
+- ▁age
+- ▁large
+- ▁ju
+- ▁gotten
+- ▁mine
+- ▁town
+- ▁months
+- ▁ch
+- ▁test
+- ▁per
+- ▁places
+- ▁comes
+- ▁anymore
+- ▁yep
+- ▁under
+- ▁plan
+- ▁vote
+- ▁important
+- ▁taking
+- port
+- ▁fi
+- ▁daughter
+- ▁thinking
+- ▁team
+- ▁learn
+- ▁budget
+- ide
+- ▁american
+- ful
+- ▁taxes
+- ▁gun
+- ▁ca
+- rs
+- ▁eighty
+- ▁control
+- ▁service
+- ▁today
+- ▁drug
+- tic
+- ▁paying
+- ▁cars
+- ▁rather
+- ▁neat
+- ▁tend
+- ▁line
+- ▁da
+- ▁law
+- time
+- ▁insurance
+- ca
+- ▁wear
+- sh
+- ▁friends
+- ▁outside
+- ally
+- man
+- ▁easy
+- ▁north
+- ▁friend
+- ▁during
+- ▁card
+- ▁nine
+- bye
+- ical
+- up
+- ▁living
+- ▁mind
+- ▁involved
+- ▁gosh
+- ▁moved
+- ig
+- ▁tr
+- ▁camping
+- ▁several
+- ▁hm
+- ap
+- ▁tried
+- ▁bring
+- ph
+- ence
+- ci
+- ▁major
+- ▁newspaper
+- ▁favorite
+- ▁student
+- ▁consider
+- ▁making
+- ice
+- ▁en
+- ▁morning
+- ▁question
+- ▁between
+- ▁jury
+- ▁ones
+- ▁amount
+- ▁older
+- ▁case
+- ▁education
+- ▁cl
+- ous
+- ▁paid
+- und
+- ▁depend
+- ▁mar
+- ▁bill
+- ▁wa
+- ▁must
+- ▁happened
+- gg
+- ▁ri
+- ▁hour
+- ▁fr
+- ▁difference
+- mi
+- ▁hope
+- ▁experience
+- 'no'
+- ▁absolutely
+- ian
+- ▁group
+- ▁figure
+- ▁anybody
+- ▁miles
+- ▁aren
+- ▁although
+- ▁worth
+- ▁interest
+- ▁book
+- ia
+- ▁forty
+- ▁expensive
+- ▁second
+- ▁without
+- ▁gets
+- ish
+- ▁du
+- ating
+- ▁full
+- ▁ta
+- ▁app
+- bo
+- ▁along
+- ▁paint
+- ▁recently
+- ▁leave
+- ▁weather
+- ▁com
+- ▁miss
+- ▁sha
+- ▁free
+- ▁often
+- ▁gra
+- ▁minutes
+- ▁magazine
+- ▁wait
+- ▁ahead
+- ▁wrong
+- ▁hours
+- ▁already
+- ▁married
+- ▁left
+- ▁camp
+- ▁hit
+- ine
+- ▁fifteen
+- ex
+- ▁men
+- ▁cons
+- ▁drugs
+- ▁rain
+- ▁schools
+- ▁fish
+- ▁girl
+- ▁office
+- ▁ski
+- ▁weeks
+- ▁middle
+- ▁knew
+- ▁store
+- ▁watching
+- ious
+- ▁hot
+- ▁running
+- ▁act
+- ▁yourself
+- ▁cold
+- ▁price
+- all
+- ick
+- ▁lake
+- ▁al
+- ▁death
+- ▁dad
+- ▁enjoyed
+- ▁benefits
+- ▁su
+- ▁word
+- ▁main
+- ▁cha
+- ▁grow
+- ▁recycling
+- ▁past
+- ▁weekend
+- ▁break
+- ▁base
+- ▁against
+- ▁movies
+- ▁mostly
+- ▁guys
+- ▁sense
+- ▁san
+- ▁cr
+- ▁sell
+- ▁sister
+- ha
+- ▁str
+- ▁thank
+- ▁issue
+- way
+- ary
+- ▁pet
+- ▁throw
+- ▁cover
+- ities
+- ▁pi
+- ▁baby
+- ▁doctor
+- ▁wi
+- ▁local
+- ▁difficult
+- ▁nursing
+- ▁wanna
+- ab
+- ▁open
+- ight
+- ▁fee
+- ▁head
+- pa
+- ▁vacation
+- ought
+- ▁ask
+- ▁brother
+- ▁instead
+- ▁reading
+- ▁kid
+- ▁add
+- ▁-
+- ial
+- ▁rest
+- ▁interested
+- ▁short
+- ▁qu
+- ▁degree
+- ▁charge
+- ber
+- ▁topic
+- ped
+- ▁talked
+- land
+- ▁move
+- ▁trouble
+- cy
+- ▁told
+- ▁fairly
+- ling
+- ▁pe
+- ▁unless
+- ▁winter
+- ▁hate
+- ▁twelve
+- ▁plano
+- ▁wish
+- ▁yard
+- ▁sta
+- ▁exercise
+- ▁front
+- do
+- ▁somewhere
+- ▁east
+- ▁gre
+- ▁everyone
+- ▁regular
+- ▁restaurant
+- ▁states
+- ▁plant
+- ▁catch
+- ▁near
+- ▁decided
+- ▁imagine
+- ▁says
+- ▁except
+- ▁chance
+- ▁california
+- ▁kill
+- ▁looked
+- ▁punishment
+- ▁pull
+- ▁fan
+- ▁south
+- ay
+- ▁hold
+- ▁fine
+- ▁taken
+- ▁garden
+- ▁park
+- ▁takes
+- ▁late
+- ▁street
+- ▁door
+- ▁tra
+- ▁fall
+- ▁mom
+- ▁clean
+- ▁dress
+- ▁income
+- ▁teach
+- ▁companies
+- ▁ready
+- ▁top
+- ▁capital
+- ▁spent
+- ▁recycle
+- ▁york
+- ▁using
+- ▁social
+- ▁works
+- ▁raise
+- ▁father
+- ▁tough
+- ▁gu
+- ▁seventy
+- ▁ja
+- ▁early
+- ▁realize
+- ▁terms
+- ▁become
+- ▁send
+- ▁sixty
+- ▁themselves
+- ▁level
+- ▁phone
+- ▁god
+- ▁woman
+- ▁oil
+- ▁stand
+- ▁felt
+- ▁rent
+- ▁ne
+- ▁changed
+- ▁pr
+- ▁exp
+- ▁particular
+- ▁radio
+- ▁christmas
+- ▁station
+- ▁goodness
+- ▁pass
+- ▁power
+- ▁save
+- ▁society
+- ▁bar
+- ▁choice
+- ▁ge
+- ▁personal
+- ▁tha
+- ard
+- ▁dollar
+- ▁playing
+- ▁die
+- ▁national
+- ▁special
+- ▁general
+- ▁rate
+- ▁awful
+- ▁bra
+- ible
+- ▁cards
+- ▁plastic
+- ▁te
+- ▁visit
+- ▁fix
+- ▁rid
+- ▁train
+- ▁lives
+- ▁expect
+- ▁support
+- ▁wood
+- ▁books
+- ▁feeling
+- ▁na
+- ner
+- ▁center
+- ized
+- ▁acc
+- ▁putting
+- ▁bag
+- ton
+- ness
+- ▁later
+- ▁growing
+- ▁guns
+- ▁land
+- line
+- ▁travel
+- ▁subject
+- ▁period
+- ▁dinner
+- ▁judge
+- ▁season
+- ▁happens
+- ▁machine
+- ▁extra
+- ▁manage
+- ▁gave
+- ▁force
+- fi
+- ▁lately
+- ▁effect
+- one
+- ▁trip
+- ▁saving
+- ▁starting
+- ▁building
+- less
+- ▁cases
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+- ▁kept
+- ▁finally
+- ▁fast
+- ▁forth
+- ran
+- ▁stop
+- ▁testing
+- ▁spring
+- ▁cause
+- ▁require
+- ▁built
+- ▁murder
+- ▁black
+- ▁quick
+- ▁dr
+- ▁sw
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+- ▁direct
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+- ▁bank
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+- ▁afford
+- ▁graduate
+- go
+- ▁space
+- que
+- ▁countries
+- ▁cats
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+- ▁process
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+- ▁television
+- ▁cheap
+- ▁ki
+- ▁rock
+- ▁engineer
+- ▁individual
+- ▁shot
+- ▁criminal
+- ▁united
+- ▁trial
+- ▁worse
+- ▁serious
+- ite
+- ▁neighborhood
+- ▁brought
+- ▁answer
+- ▁trees
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+- ▁example
+- ▁fair
+- ▁buying
+- mon
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+- ▁private
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+- ▁crazy
+- law
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+- ▁learned
+- uh
+- ▁prison
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+- ▁range
+- ▁watched
+- ▁necessarily
+- ook
+- ▁pan
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+- ize
+- ▁fill
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+- ▁ground
+- ▁video
+- ▁pollution
+- ▁higher
+- ▁available
+- ▁generation
+- ▁luck
+- ▁excuse
+- ▁pound
+- ▁picture
+- ▁roll
+- ▁america
+- ▁eventually
+- ▁itself
+- ▁ooh
+- ▁asked
+- ▁forget
+- ▁surprised
+- ▁federal
+- ▁jail
+- ▁pla
+- ▁sun
+- ▁basic
+- ▁attention
+- ▁washington
+- ▁extreme
+- ▁penalty
+- ▁sentence
+- ▁poor
+- ▁mail
+- ▁cool
+- ▁florida
+- ▁clear
+- ▁fortunate
+- ▁huge
+- ▁aware
+- ▁lay
+- ▁civil
+- ▁value
+- ▁lead
+- ▁band
+- ▁parent
+- ▁giving
+- ▁bottle
+- ▁blue
+- ▁standard
+- ▁art
+- ▁afraid
+- ▁bedroom
+- ▁comfortable
+- ▁separate
+- ▁el
+- ▁position
+- ▁foot
+- ▁cap
+- ▁eye
+- ▁europe
+- ▁sunday
+- ▁discuss
+- ▁provide
+- ▁lucky
+- ▁sick
+- ▁excellent
+- ▁utah
+- ▁classes
+- ▁apparently
+- ▁condition
+- ▁perhaps
+- ▁weapon
+- ▁burn
+- ▁originally
+- ▁self
+- ▁beginning
+- ▁prefer
+- ▁cop
+- ade
+- ▁count
+- ▁quit
+- ▁typical
+- 'off'
+- ▁economic
+- ▁broke
+- ▁average
+- ▁smaller
+- ▁security
+- ▁virginia
+- ▁weird
+- ▁future
+- ▁similar
+- ▁hopefully
+- ▁economy
+- ▁political
+- ▁relative
+- ▁slow
+- ▁master
+- ▁financial
+- ▁respect
+- ▁expense
+- ▁quarter
+- ▁accept
+- ▁appeal
+- ▁normally
+- ▁channel
+- ▁alone
+- ▁z
+- ▁human
+- ▁union
+- ▁cou
+- ▁privacy
+- ▁science
+- ▁lawyer
+- ▁busy
+- ▁window
+- ▁automatic
+- ▁sold
+- ▁county
+- ▁advantage
+- ▁bush
+- ▁affect
+- ▁drink
+- ▁entire
+- ▁lunch
+- ▁switch
+- ▁basis
+- ▁role
+- ▁table
+- ▁animal
+- ▁basketball
+- ▁industry
+- ▁peace
+- ▁reunion
+- ▁blow
+- ▁department
+- ▁present
+- ▁relate
+- ▁positive
+- ▁article
+- ▁heavy
+- ▁return
+- place
+- ▁chicken
+- ▁stories
+- ▁somehow
+- ▁honest
+- ▁history
+- ▁saturday
+- ▁salary
+- ▁member
+- ▁payment
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+- ▁port
+- ▁ride
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+- ▁mexico
+- ▁normal
+- ▁lower
+- ▁jump
+- ▁rich
+- ▁mow
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+- ▁straight
+- ▁draw
+- ▁smoke
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+- ▁rough
+- ▁scout
+- ▁touch
+- ▁sla
+- ▁suit
+- ▁purchase
+- ▁retirement
+- ▁election
+- ▁carolina
+- ▁recipe
+- ▁track
+- ▁changing
+- ▁entertain
+- ▁grandmother
+- ▁thirteen
+- ▁instance
+- ▁coverage
+- ▁attitude
+- ▁box
+- ▁face
+- ▁background
+- ▁study
+- ▁kidding
+- ▁english
+- ▁ridiculous
+- ▁legal
+- ▁tonight
+- ▁trade
+- ▁random
+- ▁john
+- ▁coast
+- ▁dry
+- ▁aluminum
+- ▁choose
+- ▁colorado
+- ▁continue
+- ▁contract
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+- ▁ticket
+- ▁board
+- ▁replace
+- ▁join
+- ▁folks
+- ▁sudden
+- ▁garbage
+- ▁engine
+- ▁himself
+- ▁instrument
+- ▁spot
+- ▁row
+- ▁activities
+- ▁cross
+- ▁scare
+- ▁shape
+- ▁mini
+- ▁district
+- ▁floor
+- ▁taste
+- ▁corn
+- ▁correct
+- ▁opportunity
+- ▁threat
+- ified
+- ▁concern
+- ▁aerobic
+- ▁popular
+- ▁everyday
+- ▁adult
+- ▁doubt
+- ▁brand
+- ▁dead
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+- ▁worst
+- ▁mexican
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+- ▁vietnam
+- ▁pressure
+- ▁taught
+- ▁balance
+- ▁body
+- ▁accident
+- ▁afternoon
+- ▁horrible
+- ▁german
+- ▁electric
+- ▁tired
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+- ▁everywhere
+- ▁opposed
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+- ▁responsibility
+- ▁common
+- ▁central
+- ▁improve
+- ▁kitchen
+- ▁vegetable
+- ▁sixteen
+- ▁nurse
+- ▁bird
+- ▁forever
+- ▁born
+- ▁stopped
+- ▁tech
+- ▁jeez
+- ▁mistake
+- ▁richardson
+- ▁russia
+- ▁express
+- ▁lady
+- ▁print
+- ▁hook
+- light
+- ▁bottom
+- ▁easily
+- ▁select
+- ▁option
+- ▁coach
+- ville
+- ▁favor
+- ▁pennsylvania
+- ▁key
+- ject
+- ▁effort
+- ▁schedule
+- ▁spread
+- ▁execut
+- ▁hobby
+- ▁immediate
+- ▁simple
+- ▁somewhat
+- ▁natural
+- ▁block
+- ▁fourteen
+- ▁however
+- ▁dump
+- ▁equipment
+- ▁perform
+- ▁complain
+- ▁planning
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+- ▁river
+- ▁conversation
+- ▁grocery
+- ▁fresh
+- ▁besides
+- burg
+- ▁friday
+- ▁result
+- ▁smart
+- ▁discover
+- ▁various
+- ▁storm
+- ▁appreciate
+- ▁equal
+- ▁nowadays
+- ▁upset
+- ▁brown
+- ▁elderly
+- ▁invasion
+- ▁oklahoma
+- ▁politics
+- ▁maryland
+- ▁regard
+- ▁commercial
+- ▁incredible
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+- ▁trust
+- ▁seventies
+- ▁league
+- ▁ourselves
+- ▁possibly
+- ▁purpose
+- ▁network
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+- ▁volunteer
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+- ▁soviet
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+- ▁load
+- ▁license
+- ▁population
+- ▁subscribe
+- ▁suspect
+- ▁atlanta
+- ▁draft
+- ▁knowledge
+- ▁tremendous
+- ▁earth
+- ▁match
+- ▁atmosphere
+- ▁democrat
+- ▁habit
+- ▁edge
+- ▁film
+- ▁earlier
+- ▁encourage
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+- ▁fellow
+- ▁suburb
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+- ▁milk
+- ▁carpet
+- ▁horse
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+- ▁occasion
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+- ▁quiet
+- ▁shirt
+- ▁knee
+- izing
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+- ▁bread
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+- ▁journal
+- ▁professor
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+- ficial
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+- ▁hung
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+- ▁female
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+- ▁welfare
+- house
+- ▁birthday
+- ▁cruise
+- ▁culture
+- ▁elementary
+- ▁employer
+- ▁incentive
+- ▁relationship
+- ▁speech
+- ▁reduce
+- ▁original
+- ▁august
+- ▁grandparents
+- ▁preschool
+- ▁violent
+- ▁barbecue
+- ▁fifties
+- ▁rabbit
+- ▁freedom
+- ▁parole
+- ▁attract
+- ▁fascinat
+- ▁innocent
+- ▁perspective
+- ▁temperature
+- ▁emotion
+- ▁pollut
+- ▁negative
+- ▁wisconsin
+- ▁contact
+- ▁impact
+- ▁jersey
+- ▁recognize
+- ▁conscious
+- ▁detail
+- ▁complete
+- ▁creek
+- ▁attack
+- ▁claim
+- ▁continu
+- ▁attorney
+- ▁campaign
+- ▁conservative
+- ▁enforce
+- ▁excited
+- ▁canada
+- ▁multi
+- ▁audi
+- ▁challenge
+- ▁evidence
+- ▁maintenance
+- ▁pepper
+- ▁release
+- ▁frame
+- employed
+- ▁include
+- ▁paycheck
+- ▁raleigh
+- ▁religious
+- ▁semester
+- '1'
+- '4'
+- '2'
+- '&'
+- '6'
+- '8'
+- '9'
+- '7'
+- '5'
+- /
+- q
+- '3'
+- '['
+- <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
+joint_net_conf: null
+use_preprocessor: true
+token_type: bpe
+bpemodel: data/en_token_list/bpe_unigram2000/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
+frontend: default
+frontend_conf:
+    n_fft: 512
+    win_length: 400
+    hop_length: 160
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 27
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_ratio_range:
+    - 0.0
+    - 0.05
+    num_time_mask: 5
+normalize: global_mvn
+normalize_conf:
+    stats_file: exp/asr_stats_raw_en_bpe2000_sp/train/feats_stats.npz
+model: espnet
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    length_normalized_loss: false
+preencoder: null
+preencoder_conf: {}
+encoder: e_branchformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    attention_layer_type: rel_selfattn
+    pos_enc_layer_type: rel_pos
+    rel_pos_type: latest
+    cgmlp_linear_units: 1024
+    cgmlp_conv_kernel: 31
+    use_linear_after_conv: false
+    gate_activation: identity
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.1
+    input_layer: conv2d
+    layer_drop_rate: 0.0
+    linear_units: 1024
+    positionwise_layer_type: linear
+    use_ffn: true
+    macaron_ffn: true
+    merge_conv_kernel: 31
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    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: '202211'
+distributed: true
+```
+
+</details>
+
+
+
+### Citing ESPnet
+
+```BibTex
+@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:
+
+```bibtex
+@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}
+}
+```

data/en_token_list/bpe_unigram2000/bpe.model

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+oid sha256:0aac273be8c26ae06b7cf6b7b1a444ded5a61a1b1bbcb7c82277dbbf0785143b
+size 271340

exp/asr_stats_raw_en_bpe2000_sp/train/feats_stats.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3fa24e59ee76da144222d7f76e5470c867c630152d28188124f1ba9890c046e
+size 1402

exp/asr_train_asr_e_branchformer_e12_size256_mlp1024_linear1024_macaron_raw_en_bpe2000_sp/RESULTS.md

@@ -0,0 +1,31 @@
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Tue Dec 27 05:05:40 CST 2022`
+- python version: `3.9.15 (main, Nov 24 2022, 14:31:59)  [GCC 11.2.0]`
+- espnet version: `espnet 202211`
+- pytorch version: `pytorch 1.12.1`
+- Git hash: `ef3ce328551c12c03284defc757f42df47c46170`
+  - Commit date: `Mon Dec 26 20:34:28 2022 -0500`
+
+## asr_train_asr_e_branchformer_e12_size256_mlp1024_linear1024_macaron_raw_en_bpe2000_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.acc.ave/eval2000/hyp.callhm.ctm.filt.sys|2628|21594|88.7|8.4|2.9|2.1|13.4|46.2|
+|decode_asr_asr_model_valid.acc.ave/eval2000/hyp.ctm.filt.sys|4459|42989|91.2|6.1|2.8|1.5|10.4|41.5|
+|decode_asr_asr_model_valid.acc.ave/eval2000/hyp.swbd.ctm.filt.sys|1831|21395|93.7|3.7|2.6|1.0|7.3|34.8|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.acc.ave/eval2000|4322|181952|93.1|3.3|3.6|10.7|17.7|67.7|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.acc.ave/eval2000|4322|47227|83.0|12.6|4.4|15.3|32.3|67.7|
+

exp/asr_train_asr_e_branchformer_e12_size256_mlp1024_linear1024_macaron_raw_en_bpe2000_sp/config.yaml

@@ -0,0 +1,2205 @@
+config: conf/tuning/train_asr_e_branchformer_e12_size256_mlp1024_linear1024_macaron.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_e_branchformer_e12_size256_mlp1024_linear1024_macaron_raw_en_bpe2000_sp
+ngpu: 1
+seed: 2022
+num_workers: 4
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: 2
+dist_rank: 0
+local_rank: 0
+dist_master_addr: localhost
+dist_master_port: 37983
+dist_launcher: null
+multiprocessing_distributed: true
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 100
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 10
+nbest_averaging_interval: 0
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: true
+log_interval: null
+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
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 40000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_bpe2000_sp/train/speech_shape
+- exp/asr_stats_raw_en_bpe2000_sp/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_en_bpe2000_sp/valid/speech_shape
+- exp/asr_stats_raw_en_bpe2000_sp/valid/text_shape.bpe
+batch_type: numel
+valid_batch_type: null
+fold_length:
+- 80000
+- 150
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train_nodup_sp/wav.scp
+    - speech
+    - kaldi_ark
+-   - dump/raw/train_nodup_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/train_dev/wav.scp
+    - speech
+    - kaldi_ark
+-   - dump/raw/train_dev/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.002
+    weight_decay: 1.0e-06
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 50000
+token_list:
+- <blank>
+- <unk>
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+- ▁and
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+- ice
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+- ▁morning
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+- ▁case
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+- ▁cl
+- ous
+- ▁paid
+- und
+- ▁depend
+- ▁mar
+- ▁bill
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+- ▁must
+- ▁happened
+- gg
+- ▁ri
+- ▁hour
+- ▁fr
+- ▁difference
+- mi
+- ▁hope
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+- ▁camp
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+- ▁fifteen
+- ex
+- ▁men
+- ▁cons
+- ▁drugs
+- ▁rain
+- ▁schools
+- ▁fish
+- ▁girl
+- ▁office
+- ▁ski
+- ▁weeks
+- ▁middle
+- ▁knew
+- ▁store
+- ▁watching
+- ious
+- ▁hot
+- ▁running
+- ▁act
+- ▁yourself
+- ▁cold
+- ▁price
+- all
+- ick
+- ▁lake
+- ▁al
+- ▁death
+- ▁dad
+- ▁enjoyed
+- ▁benefits
+- ▁su
+- ▁word
+- ▁main
+- ▁cha
+- ▁grow
+- ▁recycling
+- ▁past
+- ▁weekend
+- ▁break
+- ▁base
+- ▁against
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+- ▁mostly
+- ▁guys
+- ▁sense
+- ▁san
+- ▁cr
+- ▁sell
+- ▁sister
+- ha
+- ▁str
+- ▁thank
+- ▁issue
+- way
+- ary
+- ▁pet
+- ▁throw
+- ▁cover
+- ities
+- ▁pi
+- ▁baby
+- ▁doctor
+- ▁wi
+- ▁local
+- ▁difficult
+- ▁nursing
+- ▁wanna
+- ab
+- ▁open
+- ight
+- ▁fee
+- ▁head
+- pa
+- ▁vacation
+- ought
+- ▁ask
+- ▁brother
+- ▁instead
+- ▁reading
+- ▁kid
+- ▁add
+- ▁-
+- ial
+- ▁rest
+- ▁interested
+- ▁short
+- ▁qu
+- ▁degree
+- ▁charge
+- ber
+- ▁topic
+- ped
+- ▁talked
+- land
+- ▁move
+- ▁trouble
+- cy
+- ▁told
+- ▁fairly
+- ling
+- ▁pe
+- ▁unless
+- ▁winter
+- ▁hate
+- ▁twelve
+- ▁plano
+- ▁wish
+- ▁yard
+- ▁sta
+- ▁exercise
+- ▁front
+- do
+- ▁somewhere
+- ▁east
+- ▁gre
+- ▁everyone
+- ▁regular
+- ▁restaurant
+- ▁states
+- ▁plant
+- ▁catch
+- ▁near
+- ▁decided
+- ▁imagine
+- ▁says
+- ▁except
+- ▁chance
+- ▁california
+- ▁kill
+- ▁looked
+- ▁punishment
+- ▁pull
+- ▁fan
+- ▁south
+- ay
+- ▁hold
+- ▁fine
+- ▁taken
+- ▁garden
+- ▁park
+- ▁takes
+- ▁late
+- ▁street
+- ▁door
+- ▁tra
+- ▁fall
+- ▁mom
+- ▁clean
+- ▁dress
+- ▁income
+- ▁teach
+- ▁companies
+- ▁ready
+- ▁top
+- ▁capital
+- ▁spent
+- ▁recycle
+- ▁york
+- ▁using
+- ▁social
+- ▁works
+- ▁raise
+- ▁father
+- ▁tough
+- ▁gu
+- ▁seventy
+- ▁ja
+- ▁early
+- ▁realize
+- ▁terms
+- ▁become
+- ▁send
+- ▁sixty
+- ▁themselves
+- ▁level
+- ▁phone
+- ▁god
+- ▁woman
+- ▁oil
+- ▁stand
+- ▁felt
+- ▁rent
+- ▁ne
+- ▁changed
+- ▁pr
+- ▁exp
+- ▁particular
+- ▁radio
+- ▁christmas
+- ▁station
+- ▁goodness
+- ▁pass
+- ▁power
+- ▁save
+- ▁society
+- ▁bar
+- ▁choice
+- ▁ge
+- ▁personal
+- ▁tha
+- ard
+- ▁dollar
+- ▁playing
+- ▁die
+- ▁national
+- ▁special
+- ▁general
+- ▁rate
+- ▁awful
+- ▁bra
+- ible
+- ▁cards
+- ▁plastic
+- ▁te
+- ▁visit
+- ▁fix
+- ▁rid
+- ▁train
+- ▁lives
+- ▁expect
+- ▁support
+- ▁wood
+- ▁books
+- ▁feeling
+- ▁na
+- ner
+- ▁center
+- ized
+- ▁acc
+- ▁putting
+- ▁bag
+- ton
+- ness
+- ▁later
+- ▁growing
+- ▁guns
+- ▁land
+- line
+- ▁travel
+- ▁subject
+- ▁period
+- ▁dinner
+- ▁judge
+- ▁season
+- ▁happens
+- ▁machine
+- ▁extra
+- ▁manage
+- ▁gave
+- ▁force
+- fi
+- ▁lately
+- ▁effect
+- one
+- ▁trip
+- ▁saving
+- ▁starting
+- ▁building
+- less
+- ▁cases
+- ▁sitting
+- ▁kept
+- ▁finally
+- ▁fast
+- ▁forth
+- ran
+- ▁stop
+- ▁testing
+- ▁spring
+- ▁cause
+- ▁require
+- ▁built
+- ▁murder
+- ▁black
+- ▁quick
+- ▁dr
+- ▁sw
+- ▁community
+- ▁record
+- ▁snow
+- ▁direct
+- ▁plus
+- ▁bank
+- ▁grade
+- ▁beautiful
+- ▁red
+- ▁afford
+- ▁graduate
+- go
+- ▁space
+- que
+- ▁countries
+- ▁cats
+- ▁fire
+- ▁process
+- ▁sound
+- ▁played
+- ▁limit
+- ▁white
+- ▁sad
+- ▁university
+- ▁trans
+- ▁mess
+- ▁nineteen
+- ▁shoot
+- ▁nobody
+- ny
+- ▁football
+- ▁speak
+- ▁story
+- ▁longer
+- ▁light
+- ▁mu
+- ▁ninety
+- ▁order
+- ▁road
+- ▁totally
+- ▁fishing
+- ▁information
+- ▁sign
+- ▁worry
+- ▁spending
+- ▁product
+- ▁soon
+- ▁ah
+- ▁jo
+- ▁bother
+- ▁across
+- ▁write
+- ▁bunch
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meta.yaml

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+timestamp: 1672139241.048569
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