Speechcatcher ESPnet streaming ASR model XL for German ASR

`speechcatcher/speechcatcher_german_espnet_streaming_transformer_26k_train_size_xl_raw_de_bpe1024`

This model was trained by bmilde using speechcatcher recipe in espnet.

Demo: How to use the model

Global installation:


sudo apt-get install portaudio19-dev python3.10-dev ffmpeg
# on mac:
# brew install portaudio ffmpeg
pip3 install git+https://github.com/speechcatcher-asr/speechcatcher
speechcatcher -m de_streaming_transformer_xl mediafile.mp4
# or with a microphone:
speechcatcher -m de_streaming_transformer_xl -l

Virtual environment:

virtualenv -p python3.10 speechcatcher_env
source speechcatcher_env/bin/activate
pip3 install git+https://github.com/speechcatcher-asr/speechcatcher
speechcatcher -m de_streaming_transformer_xl mediafile.mp4
# or with a microphone:
speechcatcher -m de_streaming_transformer_xl -l

RESULTS

Tuda-de-raw: 2.76% CER (without LM)

Tuda-de-raw: 9.65% WER (without LM)

Note: Tuda-de-raw results are based on raw tuda-de test utterances without the normalization step. It may not be directly comparable to regular tuda-de results.

Speechcatcher training

Speechcatcher models are trained by using Whisper large as a teacher model:

See speechcatcher-data for code and more info on replicating the training process.

Citing

@misc{milde2023speechcatcher,
  author = {Milde, Benjamin},
  title = {Speechcatcher},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/speechcatcher-asr/speechcatcher}},
}

ASR config

expand

config: conf/train_asr_streaming_transformer_size_l.yaml
print_config: false
log_level: INFO
dry_run: false
iterator_type: sequence
output_dir: exp/asr_train_asr_streaming_transformer_size_l_raw_de_bpe1024
ngpu: 1
seed: 0
num_workers: 1
num_att_plot: 0
dist_backend: nccl
dist_init_method: env://
dist_world_size: 4
dist_rank: 0
local_rank: 0
dist_master_addr: localhost
dist_master_port: 55625
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: 20
patience: 3
val_scheduler_criterion:
- valid
- acc
early_stopping_criterion:
- valid
- acc
- max
best_model_criterion:
-   - valid
    - acc
    - max
keep_nbest_models: 10
nbest_averaging_interval: 0
grad_clip: 5
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: 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: 64
valid_batch_size: null
batch_bins: 1000000
valid_batch_bins: null
train_shape_file:
- exp/asr_stats_raw_de_bpe1024/train/speech_shape
- exp/asr_stats_raw_de_bpe1024/train/text_shape.bpe
valid_shape_file:
- exp/asr_stats_raw_de_bpe1024/valid/speech_shape
- exp/asr_stats_raw_de_bpe1024/valid/text_shape.bpe
batch_type: folded
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/wav.scp
    - speech
    - sound
-   - dump/raw/train/text
    - text
    - text
valid_data_path_and_name_and_type:
-   - dump/raw/dev/wav.scp
    - speech
    - sound
-   - dump/raw/dev/text
    - text
    - text
allow_variable_data_keys: false
max_cache_size: 0.0
max_cache_fd: 32
valid_max_cache_size: null
exclude_weight_decay: false
exclude_weight_decay_conf: {}
optim: adam
optim_conf:
    lr: 0.001
scheduler: warmuplr
scheduler_conf:
    warmup_steps: 25000
token_list:
- <blank>
- <unk>
- ','
- .
- t
- ▁
- e
- en
- s
- n
- ▁ich
- ▁das
- ▁und
- ▁die
- er
- ▁ist
- ▁auch
- ▁so
- st
- ▁der
- ▁nicht
- ▁es
- ▁ein
- r
- ▁in
- f
- ▁dann
- ▁ja
- d
- ▁da
- g
- h
- m
- o
- u
- b
- ▁wir
- ▁zu
- ▁du
- ▁ge
- ▁Und
- i
- a
- ▁mit
- ▁den
- in
- ▁man
- l
- ▁auf
- ▁dass
- sch
- ▁jetzt
- '?'
- ge
- ▁was
- ▁er
- ▁Ja
- ▁hat
- '-'
- p
- ▁war
- ▁eine
- ▁F
- ▁aber
- ▁mal
- ▁oder
- y
- ▁noch
- te
- ung
- ▁haben
- ▁Ich
- ▁be
- ▁Das
- ▁wie
- ä
- ▁an
- ▁habe
- k
- ▁von
- ▁sich
- ▁K
- al
- ▁wenn
- la
- ▁schon
- ig
- ra
- lich
- re
- de
- ch
- ▁für
- it
- ▁Also
- w
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- es
- ▁sind
- ▁ver
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- ▁wo
- ▁Sch
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- ▁Aber
- 'on'
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- ▁als
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- ▁uns
- ste
- ▁Da
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- ▁einen
- ▁Be
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- ▁Spiel
- ▁will
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- ▁Ka
- lle
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- ▁W
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- ▁Ko
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- ▁schön
- ▁La
- ▁jeden
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- ▁Co
- ▁Beispiel
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- ▁s
- ist
- rä
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- reich
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- ▁okay
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- ▁Thema
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- ▁Dann
- ▁diesen
- schaft
- ▁möchte
- ▁hätte
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- ▁Al
- bar
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- mo
- ▁Wie
- ▁waren
- ▁sp
- ▁wurde
- ▁Auf
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- ▁Frage
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- ▁deine
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- 'no'
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- ▁kommen
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- lau
- ▁müssen
- ▁kleine
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- ment
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- ▁Wa
- ▁Podcast
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- ▁Woche
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- aff
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- itz
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- tag
- '9'
- ▁Ende
- richt
- uck
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- mpf
- vi
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- ▁Leben
- ▁wichtig
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- ▁gehen
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- stand
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- ▁einmal
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- ▁sehen
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- ▁könnte
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- ▁sa
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- ▁Anfang
- ▁darf
- ▁Freund
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- ▁letzte
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- ▁Bild
- ▁Geschichte
- ▁interessant
- E
- ▁komplett
- ▁Ahnung
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- nutz
- bild
- ▁frag
- V
- ▁Kind
- ▁meisten
- ▁gehabt
- ▁gedacht
- ▁erstmal
- ▁fast
- ▁stimmt
- '3'
- laufen
- ▁bestimmt
- zahl
- ▁Über
- kommt
- gegangen
- setzen
- ▁funktioniert
- ▁spielen
- ▁Person
- ▁Sinn
- ▁dachte
- ▁fünf
- ▁hoch
- bereit
- ▁brauche
- ▁zwischen
- ▁Spaß
- ▁spannend
- ▁ehrlich
- ▁krass
- ▁schreib
- ▁zumindest
- zeug
- ▁Musik
- W
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- ▁solche
- ▁Deutschland
- ▁gespielt
- geschrieben
- Ä
- ▁später
- Y
- O
- H
- '!'
- U
- N
- Q
- Ö
- X
- Z
- J
- '%'
- Ü
- é
- «
- »
- '&'
- Ã
- à
- ş
- q
- ¤
- Ÿ
- €
- è
- ı
- ç
- ú
- ë
- ¶
- á
- ć
- —
- õ
- ğ
- í
- °
- ô
- _
- ó
- /
- å
- $
- ́
- û
- ›
- ê
- ‹
- '"'
- ñ
- Ş
- č
- )
- É
- μ
- ø
- š
- о
- ł
- ù
- ã
- ā
- ©
- а
- ':'
- е
- œ
- и
- н
- â
- î
- т
- ń
- р
- к
- 你
- æ
- „
- Č
- с
- ♪
- д
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- в
- ï
- İ
- л
- À
- у
- ь
- я
- м
- ę
- ś
- ž
- п
- '='
- ō
- ř
- Æ
- ш
- з
- ы
- ū
- ș
- Ø
- '~'
- ì
- ò
- ο
- ч
- г
- ý
- ̄
- ц
- Х
- ż
- З
- б
- ¡
- Н
- ă
- ̃
- К
- ж
- ไ
- ồ
- ♫
- ر
- х
- ン
- Ç
- §
- ⁄
- +
- '*'
- Å
- і
- Á
- ī
- џ
- ู
- ;
- '>'
- Î
- ą
- Đ
- Ȗ
- Ε
- έ
- δ
- ι
- λ
- ς
- τ
- υ
- ύ
- О
- Т
- و
- ک
- ں
- ด
- ม
- ่
- ṣ
- “
- ♥
- き
- つ
- ぶ
- ら
- チ
- ッ
- ホ
- ロ
- 中
- 以
- 佢
- 利
- 厲
- 句
- 可
- 吃
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- 制
- <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/de_token_list/bpe_unigram1024/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
    - 30
    num_freq_mask: 2
    apply_time_mask: true
    time_mask_width_range:
    - 0
    - 40
    num_time_mask: 2
normalize: global_mvn
normalize_conf:
    stats_file: exp/asr_stats_raw_de_bpe1024/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: contextual_block_transformer
encoder_conf:
    output_size: 256
    attention_heads: 8
    linear_units: 2048
    num_blocks: 22
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    attention_dropout_rate: 0.0
    input_layer: conv2d
    normalize_before: true
    block_size: 40
    hop_size: 16
    look_ahead: 16
    init_average: true
    ctx_pos_enc: true
postencoder: null
postencoder_conf: {}
decoder: transformer
decoder_conf:
    attention_heads: 8
    linear_units: 2048
    num_blocks: 12
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    self_attention_dropout_rate: 0.0
    src_attention_dropout_rate: 0.0
preprocessor: default
preprocessor_conf: {}
required:
- output_dir
- token_list
version: '202211'
distributed: true

speechcatcher
/

speechcatcher_german_espnet_streaming_transformer_13k_train_size_l_raw_de_bpe1024