Modified conformer with multi datasets

.flake8

@@ -9,6 +9,8 @@ per-file-ignores =
     egs/tedlium3/ASR/*/conformer.py: E501,
     egs/gigaspeech/ASR/*/conformer.py: E501,
     egs/librispeech/ASR/pruned_transducer_stateless2/*.py: E501,
+    egs/librispeech/ASR/*/optim.py: E501,
+    egs/librispeech/ASR/*/scaling.py: E501,
 
     # invalid escape sequence (cause by tex formular), W605
     icefall/utils.py: E501, W605

.github/scripts/run-librispeech-pruned-transducer-stateless2-2022-04-29.sh

@@ -0,0 +1,51 @@
+#!/usr/bin/env bash
+
+log() {
+  # This function is from espnet
+  local fname=${BASH_SOURCE[1]##*/}
+  echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
+}
+
+cd egs/librispeech/ASR
+
+repo_url=https://huggingface.co/csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless2-2022-04-29
+
+log "Downloading pre-trained model from $repo_url"
+git lfs install
+git clone $repo_url
+repo=$(basename $repo_url)
+
+log "Display test files"
+tree $repo/
+soxi $repo/test_wavs/*.wav
+ls -lh $repo/test_wavs/*.wav
+
+pushd $repo/exp
+ln -s pretrained-epoch-38-avg-10.pt pretrained.pt
+popd
+
+for sym in 1 2 3; do
+  log "Greedy search with --max-sym-per-frame $sym"
+
+  ./pruned_transducer_stateless2/pretrained.py \
+    --method greedy_search \
+    --max-sym-per-frame $sym \
+    --checkpoint $repo/exp/pretrained.pt \
+    --bpe-model $repo/data/lang_bpe_500/bpe.model \
+    $repo/test_wavs/1089-134686-0001.wav \
+    $repo/test_wavs/1221-135766-0001.wav \
+    $repo/test_wavs/1221-135766-0002.wav
+done
+
+for method in modified_beam_search beam_search fast_beam_search; do
+  log "$method"
+
+  ./pruned_transducer_stateless2/pretrained.py \
+    --method $method \
+    --beam-size 4 \
+    --checkpoint $repo/exp/pretrained.pt \
+    --bpe-model $repo/data/lang_bpe_500/bpe.model \
+    $repo/test_wavs/1089-134686-0001.wav \
+    $repo/test_wavs/1221-135766-0001.wav \
+    $repo/test_wavs/1221-135766-0002.wav
+done

.github/scripts/run-librispeech-pruned-transducer-stateless3-2022-04-29.sh

@@ -0,0 +1,51 @@
+#!/usr/bin/env bash
+
+log() {
+  # This function is from espnet
+  local fname=${BASH_SOURCE[1]##*/}
+  echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
+}
+
+cd egs/librispeech/ASR
+
+repo_url=https://huggingface.co/csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless3-2022-04-29
+
+log "Downloading pre-trained model from $repo_url"
+git lfs install
+git clone $repo_url
+repo=$(basename $repo_url)
+
+log "Display test files"
+tree $repo/
+soxi $repo/test_wavs/*.wav
+ls -lh $repo/test_wavs/*.wav
+
+pushd $repo/exp
+ln -s pretrained-epoch-25-avg-6.pt pretrained.pt
+popd
+
+for sym in 1 2 3; do
+  log "Greedy search with --max-sym-per-frame $sym"
+
+  ./pruned_transducer_stateless3/pretrained.py \
+    --method greedy_search \
+    --max-sym-per-frame $sym \
+    --checkpoint $repo/exp/pretrained.pt \
+    --bpe-model $repo/data/lang_bpe_500/bpe.model \
+    $repo/test_wavs/1089-134686-0001.wav \
+    $repo/test_wavs/1221-135766-0001.wav \
+    $repo/test_wavs/1221-135766-0002.wav
+done
+
+for method in modified_beam_search beam_search fast_beam_search; do
+  log "$method"
+
+  ./pruned_transducer_stateless3/pretrained.py \
+    --method $method \
+    --beam-size 4 \
+    --checkpoint $repo/exp/pretrained.pt \
+    --bpe-model $repo/data/lang_bpe_500/bpe.model \
+    $repo/test_wavs/1089-134686-0001.wav \
+    $repo/test_wavs/1221-135766-0001.wav \
+    $repo/test_wavs/1221-135766-0002.wav
+done

.github/workflows/run-librispeech-2022-04-29.yml

@@ -0,0 +1,85 @@
+# 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-librispeech-2022-04-29
+# stateless pruned transducer (reworked model) + giga speech
+
+on:
+  push:
+    branches:
+      - master
+  pull_request:
+    types: [labeled]
+
+jobs:
+  run_librispeech_2022_04_29:
+    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]
+
+      fail-fast: false
+
+    steps:
+      - uses: actions/checkout@v2
+        with:
+          fetch-depth: 0
+
+      - name: Setup Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v2
+        with:
+          python-version: ${{ matrix.python-version }}
+          cache: 'pip'
+          cache-dependency-path: '**/requirements-ci.txt'
+
+      - name: Install Python dependencies
+        run: |
+          grep -v '^#' ./requirements-ci.txt  | xargs -n 1 -L 1 pip install
+
+      - name: Cache kaldifeat
+        id: my-cache
+        uses: actions/cache@v2
+        with:
+          path: |
+            ~/tmp/kaldifeat
+          key: cache-tmp-${{ matrix.python-version }}
+
+      - name: Install kaldifeat
+        if: steps.my-cache.outputs.cache-hit != 'true'
+        shell: bash
+        run: |
+          mkdir -p ~/tmp
+          cd ~/tmp
+          git clone https://github.com/csukuangfj/kaldifeat
+          cd kaldifeat
+          mkdir build
+          cd build
+          cmake -DCMAKE_BUILD_TYPE=Release ..
+          make -j2 _kaldifeat
+
+      - name: Inference with pre-trained model
+        shell: bash
+        run: |
+          sudo apt-get -qq install git-lfs tree sox
+          export PYTHONPATH=$PWD:$PYTHONPATH
+          export PYTHONPATH=~/tmp/kaldifeat/kaldifeat/python:$PYTHONPATH
+          export PYTHONPATH=~/tmp/kaldifeat/build/lib:$PYTHONPATH
+
+          .github/scripts/run-librispeech-pruned-transducer-stateless2-2022-04-29.sh
+
+          .github/scripts/run-librispeech-pruned-transducer-stateless3-2022-04-29.sh

README.md

@@ -35,6 +35,9 @@ We do provide a Colab notebook for this recipe.
 
 ### LibriSpeech
 
+Please see <https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/README.md>
+for the **latest** results.
+
 We provide 4 models for this recipe:
 
 - [conformer CTC model][LibriSpeech_conformer_ctc]
@@ -92,6 +95,20 @@ in the decoding.
 
 We provide a Colab notebook to run a pre-trained transducer conformer + stateless decoder model: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1CO1bXJ-2khDckZIW8zjOPHGSKLHpTDlp?usp=sharing)
 
+
+#### k2 pruned RNN-T
+
+|     | test-clean | test-other |
+|-----|------------|------------|
+| WER | 2.57       | 5.95       |
+
+#### k2 pruned RNN-T + GigaSpeech
+
+|     | test-clean | test-other |
+|-----|------------|------------|
+| WER | 2.19       | 4.97       |
+
+
 ### Aishell
 
 We provide two models for this recipe: [conformer CTC model][Aishell_conformer_ctc]

egs/librispeech/ASR/.gitignore

@@ -0,0 +1 @@
+log-*

egs/librispeech/ASR/README.md

@@ -1,23 +1,19 @@
-
-# Introduction
-
-Please refer to <https://icefall.readthedocs.io/en/latest/recipes/librispeech/index.html>
-for how to run models in this recipe.
-
+# Introduction Please refer to <https://icefall.readthedocs.io/en/latest/recipes/librispeech/index.html> for how to run models in this recipe.
 # Transducers
 
 There are various folders containing the name `transducer` in this folder.
 The following table lists the differences among them.
 
 |                                       | Encoder             | Decoder            | Comment                                           |
-|---------------------------------------|---------------------|--------------------|-------------------------------------------------------|
-| `transducer`                          | Conformer           | LSTM               |                                                       |
+|---------------------------------------|---------------------|--------------------|---------------------------------------------------|
+| `transducer`                          | Conformer           | LSTM               |                                                   |
 | `transducer_stateless`                | Conformer           | Embedding + Conv1d | Using optimized_transducer from computing RNN-T loss  |
 | `transducer_stateless2`               | Conformer           | Embedding + Conv1d | Using torchaudio for computing RNN-T loss             |
-| `transducer_lstm`                     | LSTM                | LSTM               |                                                       |
-| `transducer_stateless_multi_datasets` | Conformer           | Embedding + Conv1d | Using data from GigaSpeech as extra training data     |
-| `pruned_transducer_stateless`         | Conformer           | Embedding + Conv1d | Using k2 pruned RNN-T loss                            |
-| `pruned_transducer_stateless2`        | Conformer(modified) | Embedding + Conv1d | Using k2 pruned RNN-T loss                            |
+| `transducer_lstm`                     | LSTM                | LSTM               |                                                   |
+| `transducer_stateless_multi_datasets` | Conformer           | Embedding + Conv1d | Using data from GigaSpeech as extra training data |
+| `pruned_transducer_stateless`         | Conformer           | Embedding + Conv1d | Using k2 pruned RNN-T loss                        |
+| `pruned_transducer_stateless2`        | Conformer(modified) | Embedding + Conv1d | Using k2 pruned RNN-T loss                        |
+| `pruned_transducer_stateless3`        | Conformer(modified) | Embedding + Conv1d | Using k2 pruned RNN-T loss + using GigaSpeech as extra training data |
 
 
 The decoder in `transducer_stateless` is modified from the paper