Update model

README.md

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+---
+tags:
+- espnet
+- audio
+- automatic-speech-recognition
+language: en
+datasets:
+- slue-voxceleb
+license: cc-by-4.0
+---
+
+## ESPnet2 ASR model
+
+### `espnet/sluevoxceleb_whisper_complex_slu`
+
+This model was trained by “siddhu001” using slue-voxceleb recipe in [espnet](https://github.com/espnet/espnet/).
+
+### 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 e23ef85f0b3116ad5c60d0833f186da0deec0734
+pip install -e .
+cd egs2/slue-voxceleb/slu1_correct
+./run.sh --skip_data_prep false --skip_train true --download_model espnet/sluevoxceleb_whisper_complex_slu
+```
+
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Sat Feb 10 19:24:27 CST 2024`
+- python version: `3.9.13 (main, Aug 25 2022, 23:26:10)  [GCC 11.2.0]`
+- espnet version: `espnet 202310`
+- pytorch version: `pytorch 2.1.0+cu121`
+- Git hash: `21d2105784e4da98397bf487b2550d4c6e16d40d`
+  - Commit date: `Wed Jan 31 13:40:37 2024 -0600`
+
+## exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_ctc0.3_beam10_slu_model_valid.acc.ave_10best/test|3530|144908|87.2|8.5|4.3|3.0|15.8|93.4|
+|decode_asr_slu_model_valid.acc.ave_10best/devel|1450|58104|81.2|11.1|7.6|5.3|24.1|94.6|
+|decode_asr_slu_model_valid.acc.ave_10best/test|3530|144908|79.5|12.3|8.2|5.8|26.3|96.1|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_ctc0.3_beam10_slu_model_valid.acc.ave_10best/test|3530|647097|93.9|2.4|3.7|2.8|8.9|93.4|
+|decode_asr_slu_model_valid.acc.ave_10best/devel|1450|256305|89.6|3.5|6.9|4.7|15.2|94.6|
+|decode_asr_slu_model_valid.acc.ave_10best/test|3530|647097|88.6|3.8|7.6|5.2|16.6|96.1|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+## exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp/decode_asr_ctc0.3_beam10_slu_model_valid.acc.ave_10best
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|org/devel|1451|58267|88.7|7.3|4.0|2.4|13.7|91.5|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|org/devel|1451|256942|94.7|2.1|3.3|2.3|7.7|91.5|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+## exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp/decode_asr_slu_model_valid.acc.ave_10best
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|org/devel|1451|58267|81.2|11.1|7.7|5.3|24.2|94.6|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|org/devel|1451|256942|89.5|3.5|7.0|4.7|15.2|94.6|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+
+## ASR config
+
+<details><summary>expand</summary>
+
+```
+config: conf/tuning/train_asr_whisper_weighted_0.0005.yaml
+print_config: false
+log_level: INFO
+drop_last_iter: false
+dry_run: false
+iterator_type: sequence
+valid_iterator_type: null
+output_dir: exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp
+ngpu: 1
+seed: 2022
+num_workers: 2
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: 4
+dist_rank: 0
+local_rank: 0
+dist_master_addr: localhost
+dist_master_port: 53071
+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: 70
+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: 2
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+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
+use_lora: false
+save_lora_only: true
+lora_conf: {}
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param:
+- encoder
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 6000000
+valid_batch_bins: null
+train_shape_file:
+- exp/slu_stats_raw_en_word_sp/train/speech_shape
+- exp/slu_stats_raw_en_word_sp/train/text_shape.word
+valid_shape_file:
+- exp/slu_stats_raw_en_word_sp/valid/speech_shape
+- exp/slu_stats_raw_en_word_sp/valid/text_shape.word
+batch_type: numel
+valid_batch_type: null
+fold_length:
+- 80000
+- 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/train_sp/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/devel/wav.scp
+    - speech
+    - sound
+-   - dump/raw/devel/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: 0.0005
+    weight_decay: 1.0e-06
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 5000
+token_list:
+- <blank>
+- <unk>
+- ▁i
+- ▁and
+- ''''
+- s
+- ▁the
+- ▁a
+- ▁it
+- Neutral
+- ▁to
+- ▁you
+- ▁that
+- ▁of
+- ▁in
+- ▁was
+- ▁uh
+- ▁know
+- t
+- ▁so
+- ▁we
+- ▁he
+- ing
+- ▁um
+- ed
+- m
+- ▁like
+- ▁is
+- ▁but
+- Positive
+- y
+- ▁just
+- ▁they
+- re
+- ▁this
+- ▁for
+- ▁be
+- ▁my
+- er
+- ▁with
+- ▁on
+- ▁think
+- ▁p
+- ▁have
+- ▁she
+- e
+- ▁me
+- ▁really
+- ▁there
+- ▁what
+- ▁m
+- a
+- ▁do
+- ▁all
+- i
+- al
+- ve
+- c
+- ▁as
+- ▁about
+- ▁not
+- ▁t
+- n
+- ▁at
+- l
+- ▁had
+- ▁b
+- ▁when
+- ▁c
+- g
+- ar
+- ▁out
+- en
+- ▁s
+- ▁an
+- ▁people
+- or
+- an
+- d
+- o
+- ll
+- ▁are
+- in
+- ▁very
+- p
+- b
+- u
+- ▁because
+- es
+- ▁can
+- ▁don
+- ▁or
+- ▁up
+- it
+- ▁one
+- ly
+- ▁if
+- ▁f
+- st
+- ▁were
+- ▁mean
+- ▁d
+- ▁who
+- ▁then
+- ic
+- 'on'
+- ▁no
+- ▁go
+- ▁her
+- ▁g
+- ent
+- ▁st
+- ▁kind
+- ri
+- ▁would
+- ▁get
+- ▁e
+- le
+- at
+- r
+- ▁time
+- ▁w
+- ▁re
+- h
+- ▁from
+- ▁l
+- ▁said
+- ▁him
+- ▁how
+- v
+- ▁well
+- ▁h
+- ▁gonna
+- ▁lot
+- ▁see
+- f
+- ▁his
+- et
+- ion
+- ▁been
+- ▁great
+- ▁yeah
+- ▁love
+- ▁which
+- ▁got
+- k
+- ▁them
+- ▁way
+- id
+- ▁show
+- w
+- ▁some
+- ▁your
+- ▁did
+- ▁sort
+- ▁has
+- ▁things
+- ▁back
+- ▁where
+- ▁something
+- ir
+- ▁thing
+- ad
+- ▁su
+- ▁ch
+- ▁n
+- il
+- as
+- ▁j
+- ▁more
+- se
+- ▁say
+- ▁co
+- nd
+- ▁much
+- ▁always
+- ine
+- ▁r
+- ation
+- ur
+- ▁other
+- th
+- ▁
+- ▁se
+- ▁now
+- ate
+- ▁doing
+- ▁work
+- ow
+- ▁could
+- ally
+- ▁these
+- Negative
+- ▁good
+- ▁any
+- ers
+- ce
+- ▁cause
+- ▁ex
+- ▁pro
+- ▁little
+- ▁actually
+- ▁into
+- ▁make
+- ▁first
+- ▁being
+- ra
+- ▁our
+- ▁al
+- ▁by
+- ▁film
+- ▁didn
+- ▁v
+- ct
+- ity
+- ch
+- un
+- ▁part
+- ▁de
+- ▁come
+- is
+- ie
+- ▁right
+- ▁o
+- ▁off
+- ol
+- ▁two
+- ▁never
+- ▁le
+- ot
+- ut
+- ▁movie
+- ▁play
+- ge
+- ies
+- el
+- ▁con
+- am
+- ▁going
+- ke
+- ▁want
+- im
+- ▁feel
+- ive
+- ro
+- ▁mo
+- ▁different
+- ck
+- ▁life
+- ist
+- ▁oh
+- all
+- ▁lo
+- ard
+- ▁went
+- and
+- ▁sh
+- ▁even
+- ry
+- ▁years
+- ▁look
+- ▁us
+- ant
+- ▁te
+- ▁k
+- ▁li
+- ▁happen
+- ure
+- ▁their
+- ▁those
+- ▁take
+- ment
+- ▁day
+- ble
+- ast
+- ▁every
+- um
+- ill
+- op
+- ▁thought
+- ou
+- us
+- ay
+- ▁th
+- ▁put
+- ▁story
+- ▁new
+- ▁down
+- ish
+- ▁big
+- ▁wanna
+- ▁ro
+- ▁also
+- ▁read
+- ▁around
+- ous
+- ▁through
+- red
+- ▁came
+- ▁character
+- ess
+- te
+- ver
+- ▁will
+- ag
+- ss
+- ▁fun
+- ▁over
+- ▁many
+- ▁bl
+- ▁cl
+- ▁man
+- ▁than
+- ▁pre
+- ▁world
+- ▁person
+- z
+- ▁sp
+- ven
+- ▁wanted
+- ▁bit
+- ▁before
+- ▁mar
+- one
+- ab
+- ▁en
+- ci
+- ▁set
+- ▁ha
+- ▁find
+- ul
+- ▁fi
+- ▁end
+- ▁un
+- ▁sc
+- ▁after
+- ind
+- ter
+- ▁working
+- ▁why
+- om
+- me
+- ▁such
+- ▁whole
+- ▁kinda
+- ne
+- ▁bo
+- x
+- ▁most
+- ▁ad
+- ▁guy
+- ▁spe
+- ars
+- ▁am
+- ful
+- ▁together
+- ▁let
+- ▁quite
+- ain
+- ▁everything
+- ▁made
+- ig
+- ▁old
+- able
+- ▁tr
+- ak
+- ▁fo
+- ▁po
+- ore
+- ice
+- ▁real
+- ▁knew
+- ▁hard
+- pp
+- age
+- ated
+- ▁same
+- ▁start
+- ▁ever
+- ning
+- ▁watch
+- art
+- ▁again
+- ▁here
+- are
+- ght
+- ong
+- ▁done
+- ▁only
+- ▁live
+- ▁wasn
+- ▁ho
+- ▁u
+- ▁maybe
+- ▁need
+- ▁everybody
+- ust
+- ans
+- ▁three
+- ▁having
+- ▁music
+- ack
+- ld
+- ▁trying
+- ▁guys
+- rou
+- ach
+- ving
+- ▁tell
+- ▁should
+- ff
+- ide
+- ▁four
+- ▁started
+- ▁com
+- ass
+- ▁long
+- ▁fe
+- ▁course
+- ▁called
+- ▁own
+- ress
+- ▁moment
+- ▁pl
+- ▁still
+- ▁anything
+- ▁family
+- ▁fin
+- ▁dan
+- ▁bro
+- 'no'
+- ther
+- ▁per
+- ▁amazing
+- ▁stuff
+- per
+- ▁jo
+- ▁certain
+- os
+- ▁talk
+- ater
+- ▁help
+- ▁too
+- ▁year
+- ight
+- ▁fa
+- self
+- ces
+- ▁br
+- ▁bet
+- ▁someone
+- ▁di
+- ▁sing
+- nt
+- ick
+- ▁ph
+- row
+- ▁script
+- ▁remember
+- ▁try
+- qu
+- ite
+- ▁young
+- ▁wh
+- ▁ser
+- ▁ask
+- ▁book
+- ▁each
+- ▁wr
+- ▁best
+- ▁ag
+- ▁women
+- ose
+- ions
+- ved
+- j
+- ue
+- ▁does
+- ▁five
+- ▁both
+- ▁friends
+- ▁act
+- iz
+- cess
+- pt
+- ▁somebody
+- ft
+- ▁nice
+- ▁myself
+- een
+- fe
+- sp
+- ict
+- ty
+- ▁child
+- ud
+- pe
+- ▁hope
+- ▁fact
+- ▁saying
+- ave
+- icul
+- au
+- ale
+- ris
+- ▁twenty
+- ▁school
+- ▁doesn
+- ▁able
+- pect
+- ▁last
+- ber
+- ▁song
+- od
+- ▁str
+- ▁interesting
+- lf
+- ▁em
+- ▁wor
+- ap
+- og
+- ▁ra
+- ▁dis
+- ▁coming
+- ▁ab
+- ▁house
+- ▁next
+- ▁tra
+- ▁okay
+- ere
+- ary
+- ▁incredi
+- ▁car
+- ▁job
+- ▁used
+- ▁give
+- ▁god
+- ▁americ
+- ▁characters
+- ▁app
+- ▁walk
+- ▁yes
+- rew
+- ▁getting
+- ▁six
+- ▁chan
+- ▁ne
+- ▁pretty
+- ang
+- ▁creat
+- ▁another
+- ▁ter
+- ▁kids
+- ▁felt
+- ▁sometimes
+- ▁place
+- out
+- ▁funny
+- ase
+- ich
+- act
+- ▁days
+- ▁hum
+- ▁bring
+- ts
+- ▁making
+- ▁comp
+- ▁become
+- ute
+- ▁wonderful
+- ron
+- les
+- ▁saw
+- ▁point
+- ia
+- ▁realiz
+- ▁int
+- ▁away
+- ays
+- ▁home
+- ace
+- ▁relationship
+- ▁woman
+- ▁everyone
+- ▁comes
+- ▁high
+- dd
+- ▁night
+- ath
+- ▁else
+- vent
+- ▁shoot
+- vers
+- day
+- ▁sure
+- ried
+- ned
+- ▁obviously
+- ▁dra
+- ▁inter
+- co
+- ▁playing
+- ▁important
+- ort
+- uck
+- ision
+- pport
+- ▁seen
+- pl
+- ▁fl
+- ound
+- ▁bas
+- ull
+- est
+- ▁actor
+- ▁lear
+- ▁worked
+- ▁believe
+- ▁gen
+- ▁keep
+- ▁friend
+- ▁sw
+- ▁des
+- ▁times
+- ▁im
+- ▁sur
+- ▁sit
+- ▁probably
+- ok
+- ▁took
+- ep
+- ough
+- ip
+- ood
+- ▁sa
+- ▁season
+- vel
+- wn
+- ▁dec
+- ▁excited
+- ian
+- ire
+- ph
+- ▁month
+- ner
+- ▁min
+- ▁rel
+- ating
+- body
+- ition
+- ▁loved
+- ▁aw
+- ▁hear
+- ple
+- ▁cool
+- ▁y
+- ord
+- our
+- ▁game
+- ms
+- ub
+- ▁might
+- ▁kid
+- ▁movies
+- ical
+- ▁bad
+- ▁scene
+- iv
+- ▁enough
+- ▁sm
+- bly
+- ▁fift
+- ▁eight
+- ▁experience
+- ▁actors
+- ▁cou
+- ▁understand
+- ▁week
+- ▁few
+- gin
+- ting
+- ▁director
+- ▁almost
+- ▁open
+- ren
+- ▁star
+- ▁room
+- ▁call
+- oy
+- ▁goes
+- ▁told
+- ▁once
+- ▁found
+- arly
+- ations
+- ward
+- ▁audience
+- ird
+- if
+- ▁qu
+- ▁ar
+- ▁definitely
+- ious
+- iting
+- ▁pol
+- ▁huge
+- ▁makes
+- aking
+- ream
+- ance
+- be
+- ▁la
+- ▁ac
+- iter
+- ▁run
+- ▁gotta
+- ▁gr
+- ▁cam
+- sh
+- ▁gets
+- ully
+- ▁says
+- ame
+- side
+- ▁bus
+- ▁shows
+- ▁dr
+- ▁inv
+- ▁idea
+- ▁talking
+- ▁wa
+- way
+- ▁art
+- ▁whatever
+- ▁write
+- ash
+- itt
+- ▁met
+- ▁wants
+- ▁role
+- ▁mu
+- ▁boy
+- ▁wrote
+- ger
+- ately
+- ▁exc
+- ▁mother
+- ▁produ
+- ▁cra
+- ates
+- ▁though
+- av
+- ▁episode
+- ▁sl
+- ▁change
+- ▁voice
+- ▁played
+- ily
+- ▁guess
+- ves
+- ▁hand
+- ady
+- ▁happy
+- ith
+- ▁name
+- ny
+- ▁gi
+- ▁looking
+- lev
+- ▁acting
+- aught
+- iss
+- ount
+- rom
+- ▁tw
+- ▁cont
+- ▁john
+- ▁far
+- ▁res
+- ▁sense
+- ake
+- ▁basically
+- ▁meet
+- ▁gu
+- ▁bre
+- ens
+- cept
+- ety
+- ▁girl
+- ▁york
+- ▁count
+- ▁shot
+- ise
+- ject
+- ▁tot
+- ▁stud
+- ▁feels
+- ▁thinking
+- ▁head
+- ▁cast
+- ▁writing
+- ▁rehe
+- ▁written
+- ▁perform
+- ▁fan
+- der
+- ect
+- ▁sk
+- ▁hour
+- ▁father
+- ered
+- ▁hundred
+- ▁ind
+- ▁norm
+- ▁acc
+- up
+- ▁while
+- fort
+- ▁nin
+- ▁true
+- itch
+- ▁inst
+- ▁second
+- ▁pick
+- ▁record
+- ross
+- ▁quest
+- ged
+- ▁career
+- ween
+- ▁bec
+- ▁reason
+- ▁since
+- ▁bra
+- ▁char
+- ▁imp
+- ree
+- ▁girls
+- ▁comple
+- ▁turn
+- ▁dad
+- ▁fant
+- ▁extra
+- ▁laugh
+- ▁stand
+- ▁honest
+- ▁comm
+- na
+- ▁listen
+- als
+- cial
+- spe
+- ▁ke
+- ory
+- view
+- ink
+- ▁direct
+- reat
+- round
+- ien
+- ▁under
+- ile
+- ▁diff
+- ually
+- ▁tur
+- thing
+- sic
+- ▁gon
+- ather
+- ▁aud
+- ▁scen
+- atch
+- ▁sho
+- ever
+- tra
+- ▁pe
+- mo
+- ild
+- ▁care
+- int
+- ▁fam
+- ▁ob
+- ▁ide
+- ade
+- right
+- ▁may
+- he
+- ody
+- ense
+- ▁interest
+- ah
+- form
+- ork
+- ▁episod
+- ▁rec
+- iew
+- ▁hop
+- ited
+- ▁exper
+- gh
+- ically
+- ▁bel
+- ▁el
+- enty
+- ▁gott
+- ▁stu
+- ▁id
+- rie
+- ▁nor
+- ▁inc
+- ertain
+- tain
+- ▁wo
+- ▁mon
+- az
+- xt
+- riend
+- now
+- ▁list
+- ime
+- ome
+- so
+- ause
+- iously
+- ▁sch
+- ▁vo
+- ▁op
+- ason
+- ▁mov
+- ▁hi
+- ▁pers
+- ▁ye
+- ▁def
+- orm
+- ▁belie
+- fore
+- ix
+- mber
+- very
+- ▁differe
+- ▁wonder
+- ek
+- nder
+- ▁obv
+- ▁ep
+- ship
+- ▁lau
+- ience
+- ool
+- ▁sin
+- rect
+- ▁happ
+- ▁gir
+- du
+- ng
+- ▁underst
+- most
+- eric
+- ouse
+- time
+- lm
+- ▁hel
+- redi
+- ▁cour
+- ▁relation
+- rough
+- q
+- ▁defin
+- ▁prob
+- ▁reme
+- ▁hu
+- ▁fir
+- anna
+- ways
+- itten
+- elt
+- ▁sometime
+- ':'
+- ▁kne
+- alk
+- ▁ok
+- ably
+- rote
+- gether
+- ▁definite
+- ▁import
+- '&'
+- fter
+- onest
+- erest
+- ▁amaz
+- ▁ano
+- <sos/eos>
+transcript_token_list: null
+two_pass: false
+pre_postencoder_norm: false
+init: null
+input_size: 1
+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
+token_type: word
+bpemodel: null
+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: null
+frontend_conf: {}
+specaug: null
+specaug_conf: {}
+normalize: null
+normalize_conf: {}
+model: espnet
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    length_normalized_loss: false
+    weighted_sum: true
+    extract_feats_in_collect_stats: false
+preencoder: null
+preencoder_conf: {}
+encoder: whisper
+encoder_conf:
+    whisper_model: medium
+    dropout_rate: 0.0
+    use_specaug: true
+    specaug_conf:
+        apply_time_warp: true
+        time_warp_window: 5
+        time_warp_mode: bicubic
+        apply_freq_mask: true
+        freq_mask_width_range:
+        - 0
+        - 40
+        num_freq_mask: 2
+        apply_time_mask: true
+        time_mask_width_ratio_range:
+        - 0.0
+        - 0.12
+        num_time_mask: 5
+prepostencoder: linear
+prepostencoder_conf:
+    input_size: 1024
+    output_size: 80
+postencoder: conformer_full
+postencoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 1024
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.1
+    input_layer: conv2d2
+    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
+deliberationencoder: null
+deliberationencoder_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
+postdecoder: null
+postdecoder_conf: {}
+required:
+- output_dir
+- token_list
+version: '202310'
+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}
+}
+```

exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp/RESULTS.md

@@ -0,0 +1,65 @@
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Sat Feb 10 19:24:27 CST 2024`
+- python version: `3.9.13 (main, Aug 25 2022, 23:26:10)  [GCC 11.2.0]`
+- espnet version: `espnet 202310`
+- pytorch version: `pytorch 2.1.0+cu121`
+- Git hash: `21d2105784e4da98397bf487b2550d4c6e16d40d`
+  - Commit date: `Wed Jan 31 13:40:37 2024 -0600`
+
+## exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_ctc0.3_beam10_slu_model_valid.acc.ave_10best/test|3530|144908|87.2|8.5|4.3|3.0|15.8|93.4|
+|decode_asr_slu_model_valid.acc.ave_10best/devel|1450|58104|81.2|11.1|7.6|5.3|24.1|94.6|
+|decode_asr_slu_model_valid.acc.ave_10best/test|3530|144908|79.5|12.3|8.2|5.8|26.3|96.1|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_ctc0.3_beam10_slu_model_valid.acc.ave_10best/test|3530|647097|93.9|2.4|3.7|2.8|8.9|93.4|
+|decode_asr_slu_model_valid.acc.ave_10best/devel|1450|256305|89.6|3.5|6.9|4.7|15.2|94.6|
+|decode_asr_slu_model_valid.acc.ave_10best/test|3530|647097|88.6|3.8|7.6|5.2|16.6|96.1|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+## exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp/decode_asr_ctc0.3_beam10_slu_model_valid.acc.ave_10best
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|org/devel|1451|58267|88.7|7.3|4.0|2.4|13.7|91.5|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|org/devel|1451|256942|94.7|2.1|3.3|2.3|7.7|91.5|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+## exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp/decode_asr_slu_model_valid.acc.ave_10best
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|org/devel|1451|58267|81.2|11.1|7.7|5.3|24.2|94.6|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|org/devel|1451|256942|89.5|3.5|7.0|4.7|15.2|94.6|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|

exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp/config.yaml

@@ -0,0 +1,1219 @@
+config: conf/tuning/train_asr_whisper_weighted_0.0005.yaml
+print_config: false
+log_level: INFO
+drop_last_iter: false
+dry_run: false
+iterator_type: sequence
+valid_iterator_type: null
+output_dir: exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp
+ngpu: 1
+seed: 2022
+num_workers: 2
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: 4
+dist_rank: 0
+local_rank: 0
+dist_master_addr: localhost
+dist_master_port: 53071
+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: 70
+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: 2
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+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
+use_lora: false
+save_lora_only: true
+lora_conf: {}
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param:
+- encoder
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 6000000
+valid_batch_bins: null
+train_shape_file:
+- exp/slu_stats_raw_en_word_sp/train/speech_shape
+- exp/slu_stats_raw_en_word_sp/train/text_shape.word
+valid_shape_file:
+- exp/slu_stats_raw_en_word_sp/valid/speech_shape
+- exp/slu_stats_raw_en_word_sp/valid/text_shape.word
+batch_type: numel
+valid_batch_type: null
+fold_length:
+- 80000
+- 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/train_sp/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/devel/wav.scp
+    - speech
+    - sound
+-   - dump/raw/devel/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: 0.0005
+    weight_decay: 1.0e-06
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 5000
+token_list:
+- <blank>
+- <unk>
+- ▁i
+- ▁and
+- ''''
+- s
+- ▁the
+- ▁a
+- ▁it
+- Neutral
+- ▁to
+- ▁you
+- ▁that
+- ▁of
+- ▁in
+- ▁was
+- ▁uh
+- ▁know
+- t
+- ▁so
+- ▁we
+- ▁he
+- ing
+- ▁um
+- ed
+- m
+- ▁like
+- ▁is
+- ▁but
+- Positive
+- y
+- ▁just
+- ▁they
+- re
+- ▁this
+- ▁for
+- ▁be
+- ▁my
+- er
+- ▁with
+- ▁on
+- ▁think
+- ▁p
+- ▁have
+- ▁she
+- e
+- ▁me
+- ▁really
+- ▁there
+- ▁what
+- ▁m
+- a
+- ▁do
+- ▁all
+- i
+- al
+- ve
+- c
+- ▁as
+- ▁about
+- ▁not
+- ▁t
+- n
+- ▁at
+- l
+- ▁had
+- ▁b
+- ▁when
+- ▁c
+- g
+- ar
+- ▁out
+- en
+- ▁s
+- ▁an
+- ▁people
+- or
+- an
+- d
+- o
+- ll
+- ▁are
+- in
+- ▁very
+- p
+- b
+- u
+- ▁because
+- es
+- ▁can
+- ▁don
+- ▁or
+- ▁up
+- it
+- ▁one
+- ly
+- ▁if
+- ▁f
+- st
+- ▁were
+- ▁mean
+- ▁d
+- ▁who
+- ▁then
+- ic
+- 'on'
+- ▁no
+- ▁go
+- ▁her
+- ▁g
+- ent
+- ▁st
+- ▁kind
+- ri
+- ▁would
+- ▁get
+- ▁e
+- le
+- at
+- r
+- ▁time
+- ▁w
+- ▁re
+- h
+- ▁from
+- ▁l
+- ▁said
+- ▁him
+- ▁how
+- v
+- ▁well
+- ▁h
+- ▁gonna
+- ▁lot
+- ▁see
+- f
+- ▁his
+- et
+- ion
+- ▁been
+- ▁great
+- ▁yeah
+- ▁love
+- ▁which
+- ▁got
+- k
+- ▁them
+- ▁way
+- id
+- ▁show
+- w
+- ▁some
+- ▁your
+- ▁did
+- ▁sort
+- ▁has
+- ▁things
+- ▁back
+- ▁where
+- ▁something
+- ir
+- ▁thing
+- ad
+- ▁su
+- ▁ch
+- ▁n
+- il
+- as
+- ▁j
+- ▁more
+- se
+- ▁say
+- ▁co
+- nd
+- ▁much
+- ▁always
+- ine
+- ▁r
+- ation
+- ur
+- ▁other
+- th
+- ▁
+- ▁se
+- ▁now
+- ate
+- ▁doing
+- ▁work
+- ow
+- ▁could
+- ally
+- ▁these
+- Negative
+- ▁good
+- ▁any
+- ers
+- ce
+- ▁cause
+- ▁ex
+- ▁pro
+- ▁little
+- ▁actually
+- ▁into
+- ▁make
+- ▁first
+- ▁being
+- ra
+- ▁our
+- ▁al
+- ▁by
+- ▁film
+- ▁didn
+- ▁v
+- ct
+- ity
+- ch
+- un
+- ▁part
+- ▁de
+- ▁come
+- is
+- ie
+- ▁right
+- ▁o
+- ▁off
+- ol
+- ▁two
+- ▁never
+- ▁le
+- ot
+- ut
+- ▁movie
+- ▁play
+- ge
+- ies
+- el
+- ▁con
+- am
+- ▁going
+- ke
+- ▁want
+- im
+- ▁feel
+- ive
+- ro
+- ▁mo
+- ▁different
+- ck
+- ▁life
+- ist
+- ▁oh
+- all
+- ▁lo
+- ard
+- ▁went
+- and
+- ▁sh
+- ▁even
+- ry
+- ▁years
+- ▁look
+- ▁us
+- ant
+- ▁te
+- ▁k
+- ▁li
+- ▁happen
+- ure
+- ▁their
+- ▁those
+- ▁take
+- ment
+- ▁day
+- ble
+- ast
+- ▁every
+- um
+- ill
+- op
+- ▁thought
+- ou
+- us
+- ay
+- ▁th
+- ▁put
+- ▁story
+- ▁new
+- ▁down
+- ish
+- ▁big
+- ▁wanna
+- ▁ro
+- ▁also
+- ▁read
+- ▁around
+- ous
+- ▁through
+- red
+- ▁came
+- ▁character
+- ess
+- te
+- ver
+- ▁will
+- ag
+- ss
+- ▁fun
+- ▁over
+- ▁many
+- ▁bl
+- ▁cl
+- ▁man
+- ▁than
+- ▁pre
+- ▁world
+- ▁person
+- z
+- ▁sp
+- ven
+- ▁wanted
+- ▁bit
+- ▁before
+- ▁mar
+- one
+- ab
+- ▁en
+- ci
+- ▁set
+- ▁ha
+- ▁find
+- ul
+- ▁fi
+- ▁end
+- ▁un
+- ▁sc
+- ▁after
+- ind
+- ter
+- ▁working
+- ▁why
+- om
+- me
+- ▁such
+- ▁whole
+- ▁kinda
+- ne
+- ▁bo
+- x
+- ▁most
+- ▁ad
+- ▁guy
+- ▁spe
+- ars
+- ▁am
+- ful
+- ▁together
+- ▁let
+- ▁quite
+- ain
+- ▁everything
+- ▁made
+- ig
+- ▁old
+- able
+- ▁tr
+- ak
+- ▁fo
+- ▁po
+- ore
+- ice
+- ▁real
+- ▁knew
+- ▁hard
+- pp
+- age
+- ated
+- ▁same
+- ▁start
+- ▁ever
+- ning
+- ▁watch
+- art
+- ▁again
+- ▁here
+- are
+- ght
+- ong
+- ▁done
+- ▁only
+- ▁live
+- ▁wasn
+- ▁ho
+- ▁u
+- ▁maybe
+- ▁need
+- ▁everybody
+- ust
+- ans
+- ▁three
+- ▁having
+- ▁music
+- ack
+- ld
+- ▁trying
+- ▁guys
+- rou
+- ach
+- ving
+- ▁tell
+- ▁should
+- ff
+- ide
+- ▁four
+- ▁started
+- ▁com
+- ass
+- ▁long
+- ▁fe
+- ▁course
+- ▁called
+- ▁own
+- ress
+- ▁moment
+- ▁pl
+- ▁still
+- ▁anything
+- ▁family
+- ▁fin
+- ▁dan
+- ▁bro
+- 'no'
+- ther
+- ▁per
+- ▁amazing
+- ▁stuff
+- per
+- ▁jo
+- ▁certain
+- os
+- ▁talk
+- ater
+- ▁help
+- ▁too
+- ▁year
+- ight
+- ▁fa
+- self
+- ces
+- ▁br
+- ▁bet
+- ▁someone
+- ▁di
+- ▁sing
+- nt
+- ick
+- ▁ph
+- row
+- ▁script
+- ▁remember
+- ▁try
+- qu
+- ite
+- ▁young
+- ▁wh
+- ▁ser
+- ▁ask
+- ▁book
+- ▁each
+- ▁wr
+- ▁best
+- ▁ag
+- ▁women
+- ose
+- ions
+- ved
+- j
+- ue
+- ▁does
+- ▁five
+- ▁both
+- ▁friends
+- ▁act
+- iz
+- cess
+- pt
+- ▁somebody
+- ft
+- ▁nice
+- ▁myself
+- een
+- fe
+- sp
+- ict
+- ty
+- ▁child
+- ud
+- pe
+- ▁hope
+- ▁fact
+- ▁saying
+- ave
+- icul
+- au
+- ale
+- ris
+- ▁twenty
+- ▁school
+- ▁doesn
+- ▁able
+- pect
+- ▁last
+- ber
+- ▁song
+- od
+- ▁str
+- ▁interesting
+- lf
+- ▁em
+- ▁wor
+- ap
+- og
+- ▁ra
+- ▁dis
+- ▁coming
+- ▁ab
+- ▁house
+- ▁next
+- ▁tra
+- ▁okay
+- ere
+- ary
+- ▁incredi
+- ▁car
+- ▁job
+- ▁used
+- ▁give
+- ▁god
+- ▁americ
+- ▁characters
+- ▁app
+- ▁walk
+- ▁yes
+- rew
+- ▁getting
+- ▁six
+- ▁chan
+- ▁ne
+- ▁pretty
+- ang
+- ▁creat
+- ▁another
+- ▁ter
+- ▁kids
+- ▁felt
+- ▁sometimes
+- ▁place
+- out
+- ▁funny
+- ase
+- ich
+- act
+- ▁days
+- ▁hum
+- ▁bring
+- ts
+- ▁making
+- ▁comp
+- ▁become
+- ute
+- ▁wonderful
+- ron
+- les
+- ▁saw
+- ▁point
+- ia
+- ▁realiz
+- ▁int
+- ▁away
+- ays
+- ▁home
+- ace
+- ▁relationship
+- ▁woman
+- ▁everyone
+- ▁comes
+- ▁high
+- dd
+- ▁night
+- ath
+- ▁else
+- vent
+- ▁shoot
+- vers
+- day
+- ▁sure
+- ried
+- ned
+- ▁obviously
+- ▁dra
+- ▁inter
+- co
+- ▁playing
+- ▁important
+- ort
+- uck
+- ision
+- pport
+- ▁seen
+- pl
+- ▁fl
+- ound
+- ▁bas
+- ull
+- est
+- ▁actor
+- ▁lear
+- ▁worked
+- ▁believe
+- ▁gen
+- ▁keep
+- ▁friend
+- ▁sw
+- ▁des
+- ▁times
+- ▁im
+- ▁sur
+- ▁sit
+- ▁probably
+- ok
+- ▁took
+- ep
+- ough
+- ip
+- ood
+- ▁sa
+- ▁season
+- vel
+- wn
+- ▁dec
+- ▁excited
+- ian
+- ire
+- ph
+- ▁month
+- ner
+- ▁min
+- ▁rel
+- ating
+- body
+- ition
+- ▁loved
+- ▁aw
+- ▁hear
+- ple
+- ▁cool
+- ▁y
+- ord
+- our
+- ▁game
+- ms
+- ub
+- ▁might
+- ▁kid
+- ▁movies
+- ical
+- ▁bad
+- ▁scene
+- iv
+- ▁enough
+- ▁sm
+- bly
+- ▁fift
+- ▁eight
+- ▁experience
+- ▁actors
+- ▁cou
+- ▁understand
+- ▁week
+- ▁few
+- gin
+- ting
+- ▁director
+- ▁almost
+- ▁open
+- ren
+- ▁star
+- ▁room
+- ▁call
+- oy
+- ▁goes
+- ▁told
+- ▁once
+- ▁found
+- arly
+- ations
+- ward
+- ▁audience
+- ird
+- if
+- ▁qu
+- ▁ar
+- ▁definitely
+- ious
+- iting
+- ▁pol
+- ▁huge
+- ▁makes
+- aking
+- ream
+- ance
+- be
+- ▁la
+- ▁ac
+- iter
+- ▁run
+- ▁gotta
+- ▁gr
+- ▁cam
+- sh
+- ▁gets
+- ully
+- ▁says
+- ame
+- side
+- ▁bus
+- ▁shows
+- ▁dr
+- ▁inv
+- ▁idea
+- ▁talking
+- ▁wa
+- way
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+    weighted_sum: true
+    extract_feats_in_collect_stats: false
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+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.1
+    input_layer: conv2d2
+    normalize_before: true
+    macaron_style: true
+    rel_pos_type: latest
+    pos_enc_layer_type: rel_pos
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+required:
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+- token_list
+version: '202310'
+distributed: true

exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp/valid.acc.ave_10best.pth

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+oid sha256:636268417d582b45cae8a4af8c7f4f85f8a3276331f28a3f4dfcecf804618186
+size 1358901978

meta.yaml

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+espnet: '202310'
+files:
+  slu_model_file: exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp/valid.acc.ave_10best.pth
+python: "3.9.13 (main, Aug 25 2022, 23:26:10) \n[GCC 11.2.0]"
+timestamp: 1715356620.081744
+torch: 2.1.0+cu121
+yaml_files:
+  slu_train_config: exp/slu_train_asr_whisper_weighted_0.0005_raw_en_word_sp/config.yaml