ESPnet2 ASR model

`espnet/roshansh_asr_base_sp_conformer_swbd`

This model was trained by roshansh-cmu using swbd recipe in espnet.

Demo: How to use in ESPnet2

cd espnet
git checkout a04a98c98797b314f2425082bc40261757fd47de
pip install -e .
cd egs2/swbd/asr1
./run.sh --skip_data_prep false --skip_train true --download_model espnet/roshansh_asr_base_sp_conformer_swbd

RESULTS

Environments

date: Sun Mar 13 17:23:58 EDT 2022
python version: 3.8.12 (default, Oct 12 2021, 13:49:34) [GCC 7.5.0]
espnet version: espnet 0.10.7a1
pytorch version: pytorch 1.10.1
Git hash: a04a98c98797b314f2425082bc40261757fd47de
- Commit date: Thu Mar 3 16:09:41 2022 -0500

roshansh_asr_base_sp_conformer_swbd

WER

dataset	Snt	Wrd	Corr	Sub	Del	Ins	Err	S.Err
decode_asr_asr_model_valid.acc.ave_10best/eval2000/hyp.callhm.ctm.filt.sys	2628	21594	87.4	9.6	3.0	2.0	14.6	49.7
decode_asr_asr_model_valid.acc.ave_10best/eval2000/hyp.ctm.filt.sys	4459	42989	90.5	7.0	2.5	1.5	10.9	44.7
decode_asr_asr_model_valid.acc.ave_10best/eval2000/hyp.swbd.ctm.filt.sys	1831	21395	93.7	4.3	2.0	0.9	7.2	37.7
decode_lm_lm_lm_base_lm_transformer_valid.loss.ave_asr_model_valid.acc.ave_10best/eval2000/hyp.callhm.ctm.filt.sys	2628	21594	88.0	8.9	3.1	2.0	14.0	48.0
decode_lm_lm_lm_base_lm_transformer_valid.loss.ave_asr_model_valid.acc.ave_10best/eval2000/hyp.ctm.filt.sys	4459	42989	91.0	6.5	2.5	1.4	10.4	43.0
decode_lm_lm_lm_base_lm_transformer_valid.loss.ave_asr_model_valid.acc.ave_10best/eval2000/hyp.swbd.ctm.filt.sys	1831	21395	94.0	4.0	2.0	0.9	6.8	35.9

CER

dataset	Snt	Wrd	Corr	Sub	Del	Ins	Err	S.Err
decode_asr_asr_model_valid.acc.ave_10best/eval2000	4458	181952	92.3	3.7	4.0	11.9	19.5	69.9
decode_lm_lm_lm_base_lm_transformer_valid.loss.ave_asr_model_valid.acc.ave_10best/eval2000	4458	181952	92.3	3.7	4.1	11.6	19.3	69.1

TER

dataset	Snt	Wrd	Corr	Sub	Del	Ins	Err	S.Err
decode_asr_asr_model_valid.acc.ave_10best/eval2000	4458	47302	81.7	13.5	4.8	16.7	34.9	69.9
decode_lm_lm_lm_base_lm_transformer_valid.loss.ave_asr_model_valid.acc.ave_10best/eval2000	4458	47302	81.9	13.1	5.0	16.4	34.5	69.1

ASR config

expand

config: conf/train_asr_confformer.yaml
print_config: false
log_level: INFO
dry_run: false
iterator_type: sequence
output_dir: exp/asr_base_sp_conformer
ngpu: 1
seed: 0
num_workers: 1
num_att_plot: 3
dist_backend: nccl
dist_init_method: env://
dist_world_size: 8
dist_rank: 0
local_rank: 0
dist_master_addr: localhost
dist_master_port: 52583
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: 150
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - valid
    - acc
    - max
keep_nbest_models: 10
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: false
log_interval: 3000
use_tensorboard: true
use_wandb: false
wandb_project: null
wandb_id: null
detect_anomaly: false
pretrain_path: null
init_param: []
freeze_param: []
num_iters_per_epoch: null
batch_size: 20
valid_batch_size: null
batch_bins: 75000000
valid_batch_bins: null
train_shape_file:
- exp/asr_stats_base_sp/train/speech_shape
- exp/asr_stats_base_sp/train/text_shape.bpe
valid_shape_file:
- exp/asr_stats_base_sp/valid/speech_shape
- exp/asr_stats_base_sp/valid/text_shape.bpe
batch_type: numel
valid_batch_type: null
fold_length:
- 80000
- 150
- 800
- 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/fbank_pitch/train_nodup_sp/feats.scp
    - speech
    - kaldi_ark
-   - dump/fbank_pitch/train_nodup_sp/text
    - text
    - text
valid_data_path_and_name_and_type:
-   - dump/fbank_pitch/train_dev/feats.scp
    - speech
    - kaldi_ark
-   - dump/fbank_pitch/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: 0.006
scheduler: warmuplr
scheduler_conf:
    warmup_steps: 25000
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
- m
- ▁um
- ▁just
- ▁well
- ▁do
- ▁for
- d
- ▁think
- ing
- ▁don
- ▁is
- ▁there
- ▁or
- ▁on
- ▁be
- noise
- ▁what
- laughter
- ▁oh
- ▁my
- ed
- ve
- ▁not
- ▁really
- ▁with
- n
- ▁he
- ▁one
- ▁if
- ▁are
- ▁all
- ▁get
- ▁right
- ▁about
- ▁can
- ▁because
- ▁out
- ▁had
- ▁up
- ▁them
- ▁lot
- a
- v
- ▁at
- ▁this
- ▁would
- ▁when
- ▁go
- ▁some
- p
- i
- r
- er
- ▁people
- ▁no
- ▁mean
- ▁kind
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- o
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- ▁me
- ▁got
- e
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- ▁guess
- ▁little
- g
- ▁here
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- ▁thing
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- ▁re
- ▁sure
- ▁into
- ar
- hum
- ▁school
- ▁put
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- ▁make
- ▁kids
- ▁her
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- ▁said
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- ▁c
- ▁which
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- ▁went
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- ▁f
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- ▁car
- ▁always
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- ▁day
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- ent
- en
- ▁still
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- ch
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- ▁let
- il
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- ▁same
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- ▁find
- ▁done
- ment
- ▁th
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- ur
- ▁before
- ▁far
- ▁though
- ▁w
- ▁area
- ate
- ▁haven
- ▁o
- ▁ever
- ▁p
- ▁
- ▁being
- ▁family
- ▁bad
- ▁seems
- ation
- ▁d
- ▁live
- ▁whole
- ▁fact
- ▁own
- se
- ▁why
- ▁b
- ▁play
- ▁talking
- ▁tell
- ▁better
- ▁interesting
- ▁another
- ▁place
- ▁try
- ▁trying
- ▁huh
- ▁ten
- te
- ▁twenty
- ▁else
- ol
- ▁watch
- ▁read
- ▁type
- ro
- ▁quite
- ▁job
- ▁hundred
- ▁high
- ▁call
- ▁con
- ▁ago
- ▁after
- ▁give
- ▁couple
- ▁enough
- ▁whatever
- ke
- is
- id
- ▁either
- ▁start
- ▁having
- ▁texas
- el
- ▁somebody
- ▁husband
- ▁sometimes
- ▁dollars
- ir
- ow
- ▁usually
- ▁show
- ▁help
- ▁while
- ▁few
- ▁away
- ive
- ▁se
- ▁college
- ▁y
- ▁system
- ▁might
- ▁mo
- ▁co
- ▁heard
- ▁ma
- us
- ▁person
- ▁once
- ▁made
- ▁point
- ▁six
- ce
- ▁n
- ▁fun
- ra
- ▁week
- ▁pa
- ▁buy
- ▁seen
- ▁state
- ▁anyway
- ▁again
- ▁love
- ▁gonna
- ▁dallas
- ne
- ▁started
- ▁exactly
- ▁pro
- ▁country
- ▁life
- ▁enjoy
- ▁everybody
- ▁ha
- ▁talk
- ▁lo
- ▁v
- ▁night
- ▁able
- ▁may
- ▁stay
- ▁remember
- est
- ▁news
- ▁sa
- ▁k
- ▁came
- ▁hear
- ▁end
- able
- ▁least
- ▁working
- et
- ▁un
- ry
- ▁fl
- ▁po
- ▁g
- ▁since
- ▁ra
- ▁change
- ul
- ▁idea
- ▁both
- ▁h
- ▁boy
- ▁agree
- age
- ▁program
- un
- ▁pre
- ▁st
- ▁almost
- ▁dis
- ▁someone
- ▁run
- ▁di
- um
- z
- ▁ba
- ▁ho
- ist
- ▁la
- ▁dog
- ▁m
- ▁reason
- ▁took
- ▁believe
- ant
- ▁bye
- ▁company
- ▁eight
- ▁times
- ▁half
- ▁wife
- ▁isn
- ▁paper
- ▁deal
- ▁goes
- ▁hand
- ▁guy
- ▁called
- ▁next
- ▁close
- ▁month
- ▁thirty
- ▁wanted
- ▁thousand
- ▁yet
- ▁mi
- ▁understand
- ▁bu
- tion
- ▁cost
- ▁pick
- ge
- am
- ▁drive
- ▁sp
- ▁looking
- ▁government
- ▁child
- ▁crime
- ac
- ▁tax
- ▁li
- ▁spend
- lo
- ee
- ▁women
- ▁parents
- ▁bo
- ▁days
- ▁especially
- ▁wow
- ▁saying
- ▁cut
- ▁name
- ▁eat
- ▁gone
- ▁whether
- ▁happen
- ity
- ▁less
- ated
- ▁small
- ▁saw
- ▁sounds
- ▁supposed
- ▁number
- ▁world
- ▁mother
- ▁music
- ▁set
- ▁such
- ▁until
- ▁hi
- ▁movie
- ru
- ▁credit
- ▁bought
- ▁turn
- ▁city
- ▁myself
- ▁ga
- ▁walk
- ▁food
- if
- ▁le
- ▁seem
- ▁problems
- ting
- ▁computer
- ▁makes
- ▁am
- ▁man
- ▁found
- ▁percent
- ▁together
- ▁sit
- ▁ro
- ▁coming
- ure
- ▁basically
- ▁young
- ▁best
- ▁sc
- ▁listen
- ▁hum
- ▁water
- ▁check
- ance
- ▁son
- ▁business
- ▁u
- co
- ▁comp
- ▁seven
- ▁summer
- ▁each
- ▁situation
- ie
- ian
- ▁war
- ▁j
- ▁worked
- x
- ward
- ▁side
- ▁definitely
- ▁certain
- ▁game
- ▁wh
- ▁won
- ▁cl
- ia
- ▁wonderful
- ▁wonder
- ▁matter
- ▁public
- ▁ex
- op
- ▁lived
- ▁fifty
- ▁certainly
- ▁cat
- ▁cook
- ▁funny
- ▁air
- ty
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- ▁room
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- ▁class
- ▁health
- ▁ch
- ▁sh
- ▁large
- ig
- na
- ▁r
- ▁fa
- ▁gotten
- ▁ju
- ▁mine
- ▁town
- ▁per
- ▁months
- ma
- ▁ti
- ide
- ▁test
- ▁places
- ▁yep
- ▁comes
- ▁anymore
- ▁ca
- ▁under
- he
- ▁plan
- ▁vote
- ▁fi
- ▁important
- ▁taking
- ▁da
- ▁daughter
- ▁thinking
- ▁team
- port
- ▁learn
- ▁budget
- ▁american
- ful
- ▁taxes
- de
- ▁hm
- ▁gun
- ▁str
- ▁eighty
- ▁control
- ▁service
- ▁today
- ▁drug
- ▁cars
- ▁paying
- ally
- ▁rather
- ▁neat
- ▁line
- ▁tend
- ▁law
- ▁fr
- tic
- rs
- time
- ▁insurance
- man
- ▁wear
- ▁friends
- ▁outside
- ▁easy
- ▁north
- ▁friend
- ▁during
- und
- ▁l
- ▁card
- ▁nine
- me
- bye
- ▁living
- ▁mind
- ▁involved
- ▁gosh
- ▁moved
- ight
- ▁camping
- ▁several
- ence
- ical
- ▁bring
- ice
- ▁tried
- ▁major
- ▁newspaper
- ▁favorite
- ▁en
- ▁student
- ▁consider
- ▁making
- la
- ▁morning
- ous
- ▁dr
- ph
- ▁question
- ▁between
- ▁jury
- ▁amount
- ▁mar
- ▁ones
- ▁older
- ▁case
- ▁education
- ▁wa
- ▁paid
- ▁ri
- ▁depend
- ish
- ▁bill
- ▁must
- ine
- gg
- ▁happened
- ▁hour
- ▁difference
- ▁du
- ▁hope
- ▁experience
- ▁absolutely
- ▁group
- ▁figure
- ▁anybody
- ▁miles
- ▁aren
- ating
- ▁although
- ▁worth
- ▁su
- ▁ta
- ▁interest
- ▁book
- ▁sha
- ▁forty
- ▁expensive
- ▁second
- ▁without
- up
- ▁gets
- ▁full
- ▁app
- ex
- ▁along
- ▁recently
- ▁paint
- ▁leave
- ▁ru
- all
- ▁weather
- ▁miss
- ▁free
- ▁com
- ▁often
- ▁gra
- ▁minutes
- ition
- ill
- ▁magazine
- ▁wait
- ca
- ▁ahead
- ▁wrong
- ▁hours
- ▁already
- ▁married
- ▁left
- ▁hit
- ▁camp
- ▁fifteen
- ▁pr
- ▁men
- ▁drugs
- ▁rain
- ▁schools
- ious
- ▁fish
- ▁girl
- ick
- ▁office
- ▁weeks
- ▁ski
- ▁middle
- ▁knew
- ▁al
- ▁store
- ▁watching
- ▁cha
- ▁sl
- ▁hot
- ▁running
- ▁yourself
- ▁act
- ▁cold
- ▁price
- ▁lake
- ▁death
- ▁dad
- ▁enjoyed
- ▁benefits
- ▁word
- ▁main
- ▁grow
- ▁recycling
- ▁past
- ▁weekend
- ▁break
- 'no'
- ber
- ▁against
- ▁base
- ▁movies
- ▁mostly
- ial
- ▁guys
- ▁san
- ▁pi
- ay
- ▁sense
- ▁sell
- ▁sister
- ▁thank
- ▁issue
- way
- ▁pet
- ▁throw
- ▁cover
- ary
- ▁baby
- ▁doctor
- ▁local
- ▁difficult
- ▁nursing
- ▁wi
- ▁wanna
- ▁open
- ▁head
- ought
- ▁vacation
- ▁-
- ▁brother
- ▁instead
- ▁kid
- ▁reading
- ▁add
- ▁rest
- ▁qu
- ▁interested
- ▁short
- ▁degree
- ▁charge
- ▁rec
- ▁topic
- ha
- ▁talked
- ▁move
- land
- cy
- ▁trouble
- ▁told
- ▁fairly
- ▁hate
- ▁stand
- do
- ▁unless
- ▁winter
- ▁sta
- ▁twelve
- ▁plano
- ▁wish
- ▁yard
- ▁exercise
- ▁front
- ▁somewhere
- ▁east
- ▁everyone
- ▁regular
- ▁restaurant
- ▁gre
- ▁plant
- ▁catch
- ▁states
- ▁near
- ▁decided
- ▁imagine
- ▁except
- ▁chance
- ▁says
- ▁kill
- ▁california
- ▁looked
- ▁pe
- ling
- ▁ask
- ▁punishment
- ▁pull
- ▁fan
- ▁south
- ▁fine
- ▁hold
- ▁taken
- ▁tra
- ▁garden
- ▁park
- ▁late
- ▁ja
- ▁takes
- ▁street
- ▁door
- ▁fall
- ▁clean
- ▁dress
- ▁mom
- ▁income
- ▁teach
- ▁companies
- ▁works
- ▁ready
- ▁capital
- ▁spent
- ▁recycle
- ▁york
- ▁using
- ▁gu
- ▁tough
- ▁social
- ▁raise
- ▁father
- ▁seventy
- ▁ne
- ▁gr
- ▁realize
- ▁early
- ▁send
- ▁terms
- ▁become
- ▁sixty
- ▁themselves
- ▁level
- ▁phone
- ▁god
- ▁woman
- ▁oil
- ▁rent
- ▁exp
- ▁changed
- ▁felt
- ▁particular
- ▁radio
- ▁christmas
- ▁station
- ▁top
- ▁goodness
- ▁save
- ▁power
- ▁pass
- ▁bar
- ▁die
- ▁society
- ▁choice
- ▁bra
- ▁ge
- ▁personal
- ▁na
- ▁dollar
- ▁playing
- ▁tha
- ▁rate
- ard
- ▁national
- ▁special
- ▁general
- ▁awful
- ible
- ▁cards
- ▁plastic
- ▁visit
- ▁fix
- ▁train
- ▁rid
- ▁dec
- ▁lives
- ▁expect
- ▁support
- ▁wood
- ▁books
- ▁feeling
- ▁pu
- ▁acc
- line
- ▁center
- ized
- ▁putting
- ▁bag
- ness
- ▁growing
- ▁later
- ▁guns
- ton
- ▁land
- ▁travel
- der
- ▁subject
- ▁period
- ▁dinner
- ▁judge
- ▁season
- ▁happens
- ▁machine
- ▁extra
- ▁manage
- ▁gave
- ▁vi
- ▁force
- ▁ph
- ▁lately
- ▁effect
- ner
- ▁starting
- ▁saving
- one
- ▁building
- ▁trip
- ▁sitting
- ▁cases
- ▁bri
- ▁kept
- ▁finally
- ▁fast
- ▁red
- ▁forth
- ▁mu
- ▁stop
- ▁testing
- less
- ▁spring
- ▁cause
- ▁require
- ▁built
- ▁kn
- ▁sw
- ▁murder
- ▁black
- ▁quick
- ▁community
- ▁record
- ▁snow
- gra
- j
- ▁cra
- ▁plus
- ▁bank
- ▁bi
- ▁beautiful
- ▁grade
- ran
- ▁afford
- ▁graduate
- ▁space
- ▁countries
- ▁cats
- ▁fire
- ▁process
- ▁sound
- ▁played
- ▁limit
- ▁white
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init: null
input_size: 83
ctc_conf:
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token_type: bpe
bpemodel: data/en_token_list/bpe_unigram2000/bpe.model
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cleaner: null
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distributed: true

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}
}