Update result for full libri + GigaSpeech using transducer_stateless.

.github/workflows/run-pretrained-transducer-stateless-librispeech-multi-datasets.yml

@@ -0,0 +1,154 @@
+# Copyright      2021  Fangjun Kuang (csukuangfj@gmail.com)
+
+# See ../../LICENSE for clarification regarding multiple authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+name: run-pre-trained-trandsucer-stateless-multi-datasets-librispeech-960h
+
+on:
+  push:
+    branches:
+      - master
+  pull_request:
+    types: [labeled]
+
+jobs:
+  run_pre_trained_transducer_stateless_multi_datasets_librispeech_960h:
+    if: github.event.label.name == 'ready' || github.event_name == 'push'
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        os: [ubuntu-18.04]
+        python-version: [3.7, 3.8, 3.9]
+        torch: ["1.10.0"]
+        torchaudio: ["0.10.0"]
+        k2-version: ["1.9.dev20211101"]
+
+      fail-fast: false
+
+    steps:
+      - uses: actions/checkout@v2
+        with:
+          fetch-depth: 0
+
+      - name: Setup Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v1
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install Python dependencies
+        run: |
+          python3 -m pip install --upgrade pip pytest
+          # numpy 1.20.x does not support python 3.6
+          pip install numpy==1.19
+          pip install torch==${{ matrix.torch }}+cpu torchaudio==${{ matrix.torchaudio }}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
+          pip install k2==${{ matrix.k2-version }}+cpu.torch${{ matrix.torch }} -f https://k2-fsa.org/nightly/
+
+          python3 -m pip install git+https://github.com/lhotse-speech/lhotse
+          python3 -m pip install kaldifeat
+          # We are in ./icefall and there is a file: requirements.txt in it
+          pip install -r requirements.txt
+
+      - name: Install graphviz
+        shell: bash
+        run: |
+          python3 -m pip install -qq graphviz
+          sudo apt-get -qq install graphviz
+
+      - name: Download pre-trained model
+        shell: bash
+        run: |
+          sudo apt-get -qq install git-lfs tree sox
+          cd egs/librispeech/ASR
+          mkdir tmp
+          cd tmp
+          git lfs install
+          git clone https://huggingface.co/csukuangfj/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01
+
+
+          cd ..
+          tree tmp
+          soxi tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/*.wav
+          ls -lh tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/*.wav
+
+      - name: Run greedy search decoding (max-sym-per-frame 1)
+        shell: bash
+        run: |
+          export PYTHONPATH=$PWD:PYTHONPATH
+          cd egs/librispeech/ASR
+          ./transducer_stateless_multi_datasets/pretrained.py \
+            --method greedy_search \
+            --max-sym-per-frame 1 \
+            --checkpoint ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/exp/pretrained.pt \
+            --bpe-model ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/data/lang_bpe_500/bpe.model \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1089-134686-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0002.wav
+
+      - name: Run greedy search decoding (max-sym-per-frame 2)
+        shell: bash
+        run: |
+          export PYTHONPATH=$PWD:PYTHONPATH
+          cd egs/librispeech/ASR
+          ./transducer_stateless_multi_datasets/pretrained.py \
+            --method greedy_search \
+            --max-sym-per-frame 2 \
+            --checkpoint ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/exp/pretrained.pt \
+            --bpe-model ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/data/lang_bpe_500/bpe.model \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1089-134686-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0002.wav
+
+      - name: Run greedy search decoding (max-sym-per-frame 3)
+        shell: bash
+        run: |
+          export PYTHONPATH=$PWD:PYTHONPATH
+          cd egs/librispeech/ASR
+          ./transducer_stateless_multi_datasets/pretrained.py \
+            --method greedy_search \
+            --max-sym-per-frame 3 \
+            --checkpoint ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/exp/pretrained.pt \
+            --bpe-model ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/data/lang_bpe_500/bpe.model \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1089-134686-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0002.wav
+
+      - name: Run beam search decoding
+        shell: bash
+        run: |
+          export PYTHONPATH=$PWD:$PYTHONPATH
+          cd egs/librispeech/ASR
+          ./transducer_stateless_multi_datasets/pretrained.py \
+            --method beam_search \
+            --beam-size 4 \
+            --checkpoint ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/exp/pretrained.pt \
+            --bpe-model ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/data/lang_bpe_500/bpe.model \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1089-134686-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0002.wav
+
+
+      - name: Run modified beam search decoding
+        shell: bash
+        run: |
+          export PYTHONPATH=$PWD:$PYTHONPATH
+          cd egs/librispeech/ASR
+          ./transducer_stateless_multi_datasets/pretrained.py \
+            --method modified_beam_search \
+            --beam-size 4 \
+            --checkpoint ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/exp/pretrained.pt \
+            --bpe-model ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/data/lang_bpe_500/bpe.model \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1089-134686-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0001.wav \
+            ./tmp/icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01/test_wavs/1221-135766-0002.wav

README.md

@@ -84,7 +84,7 @@ The best WER using modified beam search with beam size 4 is:
 
 |     | test-clean | test-other |
 |-----|------------|------------|
-| WER | 2.67       | 6.57       |
+| WER | 2.61       | 6.46       |
 
 Note: No auxiliary losses are used in the training and no LMs are used
 in the decoding.

egs/librispeech/ASR/RESULTS-100hours.md

@@ -7,6 +7,8 @@ train-clean-100 subset as training data.
 
 ### 2022-02-21
 
+Using commit `2332ba312d7ce72f08c7bac1e3312f7e3dd722dc`.
+
 |                                     | test-clean | test-other | comment                                  |
 |-------------------------------------|------------|------------|------------------------------------------|
 | greedy search (max sym per frame 1) | 6.34       | 16.7       | --epoch 57, --avg 17, --max-duration 100 |

egs/librispeech/ASR/RESULTS.md

@@ -52,11 +52,89 @@ avg=15
 
 #### Conformer encoder + embedding decoder
 
-Using commit `a8150021e01d34ecbd6198fe03a57eacf47a16f2`.
-
 Conformer encoder + non-recurrent decoder. The decoder
 contains only an embedding layer and a Conv1d (with kernel size 2).
 
+See
+
+- [./transducer_stateless](./transducer_stateless)
+- [./transducer_stateless_multi_datasets](./transducer_stateless_multi_datasets)
+
+##### 2022-03-01
+
+Using commit `fill in it after merging`.
+
+It uses [GigaSpeech](https://github.com/SpeechColab/GigaSpeech)
+as extra training data. 20% of the time it selects a batch from L subset of
+GigaSpeech and 80% of the time it selects a batch from LibriSpeech.
+
+The WERs are
+
+|                                     | test-clean | test-other | comment                                  |
+|-------------------------------------|------------|------------|------------------------------------------|
+| greedy search (max sym per frame 1) | 2.64       | 6.55       | --epoch 39, --avg 15, --max-duration 100 |
+| modified beam search (beam size 4)  | 2.61       | 6.46       | --epoch 39, --avg 15, --max-duration 100 |
+
+The training command for reproducing is given below:
+
+```bash
+cd egs/librispeech/ASR/
+./prepare.sh
+./prepare_giga_speech.sh
+
+export CUDA_VISIBLE_DEVICES="0,1,2,3"
+
+./transducer_stateless_multi_datasets/train.py \
+  --world-size 4 \
+  --num-epochs 40 \
+  --start-epoch 0 \
+  --exp-dir transducer_stateless_multi_datasets/exp-full-2 \
+  --full-libri 1 \
+  --max-duration 300 \
+  --lr-factor 5 \
+  --bpe-model data/lang_bpe_500/bpe.model \
+  --modified-transducer-prob 0.25 \
+  --giga-prob 0.2
+```
+
+The tensorboard training log can be found at
+<https://tensorboard.dev/experiment/xmo5oCgrRVelH9dCeOkYBg/>
+
+The decoding command is:
+
+```bash
+epoch=39
+avg=15
+sym=1
+
+# greedy search
+./transducer_stateless_multi_datasets/decode.py \
+  --epoch $epoch \
+  --avg $avg \
+  --exp-dir transducer_stateless_multi_datasets/exp-full-2 \
+  --bpe-model ./data/lang_bpe_500/bpe.model \
+  --max-duration 100 \
+  --context-size 2 \
+  --max-sym-per-frame $sym
+
+# modified beam search
+./transducer_stateless_multi_datasets/decode.py \
+  --epoch $epoch \
+  --avg $avg \
+  --exp-dir transducer_stateless_multi_datasets/exp-full-2 \
+  --bpe-model ./data/lang_bpe_500/bpe.model \
+  --max-duration 100 \
+  --context-size 2 \
+  --decoding-method modified_beam_search \
+  --beam-size 4
+```
+
+
+##### 2022-02-07
+
+Using commit `a8150021e01d34ecbd6198fe03a57eacf47a16f2`.
+
+
 The WERs are
 
 |                                     | test-clean | test-other | comment                                  |

egs/librispeech/ASR/transducer_stateless_multi_datasets/train.py

@@ -19,16 +19,39 @@
 """
 Usage:
 
+cd egs/librispeech/ASR/
+./prepare.sh
+./prepare_giga_speech.sh
+
+# 100-hours
+export CUDA_VISIBLE_DEVICES="0,1"
+
+./transducer_stateless_multi_datasets/train.py \
+  --world-size 2 \
+  --num-epochs 60 \
+  --start-epoch 0 \
+  --exp-dir transducer_stateless_multi_datasets/exp-100-2 \
+  --full-libri 0 \
+  --max-duration 300 \
+  --lr-factor 1 \
+  --bpe-model data/lang_bpe_500/bpe.model \
+  --modified-transducer-prob 0.25
+  --giga-prob 0.2
+
+# 960-hours
 export CUDA_VISIBLE_DEVICES="0,1,2,3"
 
 ./transducer_stateless_multi_datasets/train.py \
   --world-size 4 \
-  --num-epochs 30 \
+  --num-epochs 40 \
   --start-epoch 0 \
-  --exp-dir transducer_stateless_multi_datasets/exp \
+  --exp-dir transducer_stateless_multi_datasets/exp-full-2 \
   --full-libri 1 \
-  --max-duration 250 \
-  --lr-factor 2.5
+  --max-duration 300 \
+  --lr-factor 5 \
+  --bpe-model data/lang_bpe_500/bpe.model \
+  --modified-transducer-prob 0.25 \
+  --giga-prob 0.2
 """