diff --git a/README.md b/README.md
index 79d9e53..6e65af7 100644
--- a/README.md
+++ b/README.md
@@ -94,14 +94,29 @@ When dealing with mutiple AI projects, it will make your life much easier to set
 
     We use recommand conda, and we take this as an example
 
-2. crate environment for song-cutter and those non-AI program
+2. crate environments
 
     ```shell
-    conda create -n music-dealer
+    cd requirements
+    
+    # misc
+    conda create -n singing-dealer
+    conda activate singing-dealer
+    pip install -r make_midi.txt
+    
+    # vocal extraction
+    conda env create -f vocal-extraction/environment.yml 
+    #if you use arm mac, use environment-m1.yml
+    conda activate vocal-extraction
+    pip install -r vocal-extraction/requirements.txt
+    
+    # alignment & melody extraction
+    conda env create -f vocal-extraction/maker_ai_cpu.yml
+    # if you have gpu, use maker_ai_gpu.yml
+    conda activate maker_ai
+    pip install -r melody_extraction.txt
     ```
-
-    ### not finished, next update on 6.28
-
+    
     
 
 ### Seperate the song
diff --git a/requirements/align_environment_cpu.yml b/requirements/align_environment_cpu.yml
new file mode 100644
index 0000000..5f48e07
--- /dev/null
+++ b/requirements/align_environment_cpu.yml
@@ -0,0 +1,27 @@
+name: maker_ai
+channels:
+  - pytorch
+  - conda-forge
+  - defaults
+dependencies:
+  - audioread=2.1.8
+  - decorator=4.4.1
+  - ffmpeg=4.2
+  - libflac=1.3.1
+  - libiconv=1.15
+  - libllvm8=8.0.1
+  - libogg=1.3.2
+  - librosa=0.7.2
+  - libsndfile=1.0.28
+  - libuuid=2.32.1
+  - libvorbis=1.3.5
+  - libxcb=1.13
+  - numba=0.47.0
+  - pyqt=5.6.0
+  - pysoundfile=0.10.2
+  - resampy=0.2.2
+  - numpy=1.18.1
+  - numpy-base=1.18.1
+  - python=3.6.10
+  - pytorch=1.5.0
+
diff --git a/requirements/align_environment_gpu.yml b/requirements/align_environment_gpu.yml
new file mode 100644
index 0000000..8073b7e
--- /dev/null
+++ b/requirements/align_environment_gpu.yml
@@ -0,0 +1,22 @@
+name: maker_ai
+channels:
+  - pytorch
+  - conda-forge
+  - defaults
+dependencies:
+  - audioread=2.1.8
+  - decorator=4.4.1
+  - libsndfile=1.0.28
+  - libuuid=2.32.1
+  - libvorbis=1.3.5
+  - libxcb=1.13
+  - numba=0.47.0
+  - pyqt=5.6.0
+  - pysoundfile=0.10.2
+  - resampy=0.2.2
+  - numpy=1.18.1
+  - numpy-base=1.18.1
+  - python=3.6.10
+  - pytorch=1.5.0
+  - cudatoolkit=9.2
+
diff --git a/requirements/melody_extraction.txt b/requirements/melody_extraction.txt
index 43b3803..d04a619 100644
--- a/requirements/melody_extraction.txt
+++ b/requirements/melody_extraction.txt
@@ -5,4 +5,6 @@ madmom==0.16.1
 numpy==1.18.5
 SciPy==1.1.0
 pysndfx==0.3.6
-tensorflow-gpu==1.15.5
\ No newline at end of file
+tensorflow-gpu==1.15.5
+decorator==4.4.1
+cudatoolkit=9.2
diff --git a/requirements/vocal-extraction/environment-m1.yml b/requirements/vocal-extraction/environment-m1.yml
index f29d59e..462d0aa 100644
--- a/requirements/vocal-extraction/environment-m1.yml
+++ b/requirements/vocal-extraction/environment-m1.yml
@@ -1,4 +1,4 @@
-name: pytorch
+name: vocal-extract
 channels:
   - conda-forge
   - anaconda
diff --git a/requirements/vocal-extraction/environment.yml b/requirements/vocal-extraction/environment.yml
index 5b9b613..cd59a4d 100644
--- a/requirements/vocal-extraction/environment.yml
+++ b/requirements/vocal-extraction/environment.yml
@@ -1,4 +1,4 @@
-name: extract
+name: vocal-extract
 channels:
   - conda-forge
   - anaconda
@@ -22,5 +22,3 @@ dependencies:
     - asteroid>=0.5.0
     - demucs==2.0.3
 
-prefix: /home/ielab/miniconda3/envs/pytorch
-
diff --git a/utils/english-align/prepare_dict.sh b/utils/english-align/prepare_dict.sh
deleted file mode 100755
index a8221ba..0000000
--- a/utils/english-align/prepare_dict.sh
+++ /dev/null
@@ -1,306 +0,0 @@
-#!/usr/bin/env bash
-#Copyright 2016 LeSpeech (Author: Xingyu Na)
-
-# prepare dictionary for aidatatang
-# it is done for English and Chinese separately,
-# For English, we use CMU dictionary, and Sequitur G2P
-# for OOVs, while all englist phone set will concert to Chinese
-# phone set at the end. For Chinese, we use an online dictionary,
-# for OOV, we just produce pronunciation using Charactrt Mapping.
-
-dict_dir=./dict
-mkdir -p $dict_dir
-mkdir -p $dict_dir/lexicon-{en,ch}
-
-# extract full vocabulary
-cat dict/text.txt | awk '{for (i = 2; i <= NF; i++) print $i}' |\
-  perl -ape 's/ /\n/g;' | sort -u | grep -v '\[LAUGHTER\]' | grep -v '\[NOISE\]' |\
-  grep -v '\[VOCALIZED-NOISE\]' > $dict_dir/words.txt || exit 1;
-
-# split into English and Chinese
-cat $dict_dir/words.txt > $dict_dir/lexicon-en/words-en.txt || exit 1;
-
-
-##### produce pronunciations for english
-if [ ! -f $dict_dir/cmudict/cmudict.0.7a ]; then
-  echo "--- Downloading CMU dictionary ..."
-  svn co -r 13068 https://svn.code.sf.net/p/cmusphinx/code/trunk/cmudict \
-    $dict_dir/cmudict || exit 1;
-fi
-
-# format cmudict
-echo "--- Striping stress and pronunciation variant markers from cmudict ..."
-perl $dict_dir/cmudict/scripts/make_baseform.pl \
-  $dict_dir/cmudict/cmudict.0.7a /dev/stdout |\
-  sed -e 's:^\([^\s(]\+\)([0-9]\+)\(\s\+\)\(.*\):\1\2\3:' > $dict_dir/cmudict/cmudict-plain.txt || exit 1;
-
-# extract in-vocab lexicon and oov words
-echo "--- Searching for English OOV words ..."
-echo 1
-awk 'NR==FNR{words[$1]; next;} !($1 in words)' \
-  $dict_dir/cmudict/cmudict-plain.txt $dict_dir/lexicon-en/words-en.txt |\
-  egrep -v '<.?s>' > $dict_dir/lexicon-en/words-en-oov.txt;
-echo 2
-awk 'NR==FNR{words[$1]; next;} ($1 in words)' \
-  $dict_dir/lexicon-en/words-en.txt $dict_dir/cmudict/cmudict-plain.txt |\
-  egrep -v '<.?s>' > $dict_dir/lexicon-en/lexicon-en-iv.txt;
-
-echo 1
-
-wc -l $dict_dir/lexicon-en/words-en-oov.txt
-wc -l $dict_dir/lexicon-en/lexicon-en-iv.txt
-
-
-echo "--- Preparing pronunciations for OOV words ..."
-g2p=`which g2p.py`
-if [ ! -x $g2p ]; then
-  echo "g2p.py is not found. Checkout tools/extras/install_sequitur.sh."
-  exit 1
-fi
-g2p.py --model=conf/g2p_model --apply $dict_dir/lexicon-en/words-en-oov.txt \
-  > $dict_dir/lexicon-en/lexicon-en-oov.txt || exit 1;
-
-# merge in-vocab and oov lexicon
-cat $dict_dir/lexicon-en/lexicon-en-oov.txt $dict_dir/lexicon-en/lexicon-en-iv.txt |\
-  sort > $dict_dir/lexicon-en/lexicon-en-phn.txt || exit 1;
-
-# convert cmu phoneme to pinyin phonenme
-mkdir -p $dict_dir/map
-cat conf/cmu2pinyin | awk '{print $1g;}' | sort -u > $dict_dir/map/cmu || exit 1;
-cat conf/pinyin2cmu | awk -v cmu=$dict_dir/map/cmu \
-  'BEGIN{while((getline<cmu)) dict[$1] = 1;}
-   {for (i = 2; i <=NF; i++) if (dict[$i]) print $i;}' | sort -u > $dict_dir/map/cmu-used || exit 1;
-cat $dict_dir/map/cmu | awk -v cmu=$dict_dir/map/cmu-used \
-  'BEGIN{while((getline<cmu)) dict[$1] = 1;}
-   {if (!dict[$1]) print $1;}' > $dict_dir/map/cmu-not-used || exit 1;
-
-awk 'NR==FNR{words[$1]; next;} ($1 in words)' \
-  $dict_dir/map/cmu-not-used conf/cmu2pinyin |\
-  egrep -v '<.?s>' > $dict_dir/map/cmu-py || exit 1;
-
-cat $dict_dir/map/cmu-py | \
-  perl -e '
-  open(MAPS, $ARGV[0]) or die("could not open map file");
-  my %py2ph;
-  foreach $line (<MAPS>) {
-    @A = split(" ", $line);
-    $py = shift(@A);
-    $py2ph{$py} = [@A];
-  }
-  my @entry;
-  while (<STDIN>) {
-    @A = split(" ", $_);
-    @entry = ();
-    $W = shift(@A);
-    push(@entry, $W);
-    for($i = 0; $i < @A; $i++) { push(@entry, @{$py2ph{$A[$i]}}); }
-    print "@entry";
-    print "\n";
-  }
-' conf/pinyin2cmu > $dict_dir/map/cmu-cmu || exit 1;
-
-cat $dict_dir/lexicon-en/lexicon-en-phn.txt | \
-  perl -e '
-  open(MAPS, $ARGV[0]) or die("could not open map file");
-  my %py2ph;
-  foreach $line (<MAPS>) {
-    @A = split(" ", $line);
-    $py = shift(@A);
-    $py2ph{$py} = [@A];
-  }
-  my @entry;
-  while (<STDIN>) {
-    @A = split(" ", $_);
-    @entry = ();
-    $W = shift(@A);
-    push(@entry, $W);
-    for($i = 0; $i < @A; $i++) {
-      if (exists $py2ph{$A[$i]}) { push(@entry, @{$py2ph{$A[$i]}}); }
-      else {push(@entry, $A[$i])};
-    }
-    print "@entry";
-    print "\n";
-  }
-' $dict_dir/map/cmu-cmu > $dict_dir/lexicon-en/lexicon-en.txt || exit 1;
-
-
-##### produce pronunciations for chinese
-if [ ! -f $dict_dir/cedict/cedict_1_0_ts_utf-8_mdbg.txt ]; then
-  echo "------------- Downloading cedit dictionary ---------------"
-  mkdir -p $dict_dir/cedict
-  wget -P $dict_dir/cedict https://www.mdbg.net/chinese/export/cedict/cedict_1_0_ts_utf-8_mdbg.txt.gz
-  gzip -d $dict_dir/cedict/cedict_1_0_ts_utf-8_mdbg.txt.gz
-fi
-
-cat $dict_dir/cedict/cedict_1_0_ts_utf-8_mdbg.txt | grep -v '#' | awk -F '/' '{print $1}' |\
- perl -e '
-  while (<STDIN>) {
-    @A = split(" ", $_);
-    print $A[1];
-    for($n = 2; $n < @A; $n++) {
-      $A[$n] =~ s:\[?([a-zA-Z0-9\:]+)\]?:$1:;
-      $tmp = uc($A[$n]);
-      print " $tmp";
-    }
-    print "\n";
-  }
- ' | sort -k1 > $dict_dir/cedict/ch-dict.txt || exit 1;
-
-echo "--- Searching for Chinese OOV words ..."
-awk 'NR==FNR{words[$1]; next;} !($1 in words)' \
-  $dict_dir/cedict/ch-dict.txt $dict_dir/lexicon-ch/words-ch.txt |\
-  egrep -v '<.?s>' > $dict_dir/lexicon-ch/words-ch-oov.txt || exit 1;
-
-awk 'NR==FNR{words[$1]; next;} ($1 in words)' \
-  $dict_dir/lexicon-ch/words-ch.txt $dict_dir/cedict/ch-dict.txt |\
-  egrep -v '<.?s>' > $dict_dir/lexicon-ch/lexicon-ch-iv.txt || exit 1;
-
-wc -l $dict_dir/lexicon-ch/words-ch-oov.txt
-wc -l $dict_dir/lexicon-ch/lexicon-ch-iv.txt
-
-
-# validate Chinese dictionary and compose a char-based
-# dictionary in order to get OOV pronunciations
-cat $dict_dir/cedict/ch-dict.txt |\
-  perl -e '
-  use utf8;
-  binmode(STDIN,":encoding(utf8)");
-  binmode(STDOUT,":encoding(utf8)");
-  while (<STDIN>) {
-    @A = split(" ", $_);
-    $word_len = length($A[0]);
-    $proun_len = @A - 1 ;
-    if ($word_len == $proun_len) {print $_;}
-  }
-  ' > $dict_dir/cedict/ch-dict-1.txt || exit 1;
-
-# extract chars
-cat $dict_dir/cedict/ch-dict-1.txt | awk '{print $1}' |\
-  perl -e '
-  use utf8;
-  binmode(STDIN,":encoding(utf8)");
-  binmode(STDOUT,":encoding(utf8)");  
-  while (<STDIN>) {
-    @A = split(" ", $_);
-    @chars = split("", $A[0]);
-    foreach (@chars) {
-      print "$_\n";
-    }
-  }
-  ' | grep -v '^$' > $dict_dir/lexicon-ch/ch-char.txt || exit 1;
-
-# extract individual pinyins
-cat $dict_dir/cedict/ch-dict-1.txt |\
-  awk '{for(i=2; i<=NF; i++) print $i}' |\
-  perl -ape 's/ /\n/g;' > $dict_dir/lexicon-ch/ch-char-pinyin.txt || exit 1;
-
-# first make sure number of characters and pinyins
-# are equal, so that a char-based dictionary can
-# be composed.
-nchars=`wc -l < $dict_dir/lexicon-ch/ch-char.txt`
-npinyin=`wc -l < $dict_dir/lexicon-ch/ch-char-pinyin.txt`
-if [ $nchars -ne $npinyin ]; then
-  echo "Found $nchars chars and $npinyin pinyin. Please check!"
-  exit 1
-fi
-
-paste $dict_dir/lexicon-ch/ch-char.txt $dict_dir/lexicon-ch/ch-char-pinyin.txt |\
-  sort -u > $dict_dir/lexicon-ch/ch-char-dict.txt || exit 1;
-
-# create a multiple pronunciation dictionary
-cat $dict_dir/lexicon-ch/ch-char-dict.txt |\
-  perl -e '
-  my $prev = "";
-  my $out_line = "";
-  while (<STDIN>) {
-    @A = split(" ", $_);
-    $cur = $A[0];
-    $cur_py = $A[1];
-    #print length($prev);
-    if (length($prev) == 0) { $out_line = $_; chomp($out_line);}
-    if (length($prev)>0 && $cur ne $prev) { print $out_line; print "\n"; $out_line = $_; chomp($out_line);}
-    if (length($prev)>0 && $cur eq $prev) { $out_line = $out_line."/"."$cur_py";}
-    $prev = $cur;
-  }
-  print $out_line;
-  ' >  $dict_dir/lexicon-ch/ch-char-dict-mp.txt || exit 1;
-
-# get lexicon for Chinese OOV words
-local/create_oov_char_lexicon.pl $dict_dir/lexicon-ch/ch-char-dict-mp.txt \
-  $dict_dir/lexicon-ch/words-ch-oov.txt > $dict_dir/lexicon-ch/lexicon-ch-oov.txt || exit 1;
-
-# seperate multiple prons for Chinese OOV lexicon
-cat $dict_dir/lexicon-ch/lexicon-ch-oov.txt |\
-  perl -e '
-  my @entry;
-  my @entry1;
-  while (<STDIN>) {
-    @A = split(" ", $_);
-    @entry = ();
-    push(@entry, $A[0]);
-    for($i = 1; $i < @A; $i++ ) {
-      @py = split("/", $A[$i]);
-      @entry1 = @entry;
-      @entry = ();
-      for ($j = 0; $j < @entry1; $j++) {
-        for ($k = 0; $k < @py; $k++) {
-          $tmp = $entry1[$j]." ".$py[$k];
-          push(@entry, $tmp);
-        }
-      }
-    }
-    for ($i = 0; $i < @entry; $i++) {
-      print $entry[$i];
-      print "\n";
-    }
-  }
-  ' > $dict_dir/lexicon-ch/lexicon-ch-oov-mp.txt || exit 1;
-
-# compose IV and OOV lexicons for Chinese
-cat $dict_dir/lexicon-ch/lexicon-ch-oov-mp.txt $dict_dir/lexicon-ch/lexicon-ch-iv.txt |\
-  awk '{if (NF > 1 && $2 ~ /[A-Za-z0-9]+/) print $0;}' > $dict_dir/lexicon-ch/lexicon-ch.txt || exit 1;
-
-# convert Chinese pinyin to CMU format
-cat $dict_dir/lexicon-ch/lexicon-ch.txt | sed -e 's/U:/V/g' | sed -e 's/ R\([0-9]\)/ ER\1/g'|\
-  utils/pinyin_map.pl conf/pinyin2cmu > $dict_dir/lexicon-ch/lexicon-ch-cmu.txt || exit 1;
-
-# combine English and Chinese lexicons
-cat $dict_dir/lexicon-en/lexicon-en.txt $dict_dir/lexicon-ch/lexicon-ch-cmu.txt |\
-  sort -u > $dict_dir/lexicon1.txt || exit 1;
-
-cat $dict_dir/lexicon1.txt | awk '{ for(n=2;n<=NF;n++){ phones[$n] = 1; }} END{for (p in phones) print p;}'| \
-  sort -u |\
-  perl -e '
-  my %ph_cl;
-  while (<STDIN>) {
-    $phone = $_;
-    chomp($phone);
-    chomp($_);
-    $phone =~ s:([A-Z]+)[0-9]:$1:;
-    if (exists $ph_cl{$phone}) { push(@{$ph_cl{$phone}}, $_)  }
-    else { $ph_cl{$phone} = [$_]; }
-  }
-  foreach $key ( keys %ph_cl ) {
-     print "@{ $ph_cl{$key} }\n"
-  }
-  ' | sort -k1 > $dict_dir/nonsilence_phones.txt  || exit 1;
-
-( echo SIL; echo SPN; echo NSN; echo LAU ) > $dict_dir/silence_phones.txt
-
-echo SIL > $dict_dir/optional_silence.txt
-
-# No "extra questions" in the input to this setup, as we don't
-# have stress or tone
-
-cat $dict_dir/silence_phones.txt| awk '{printf("%s ", $1);} END{printf "\n";}' > $dict_dir/extra_questions.txt || exit 1;
-cat $dict_dir/nonsilence_phones.txt | perl -e 'while(<>){ foreach $p (split(" ", $_)) {
-  $p =~ m:^([^\d]+)(\d*)$: || die "Bad phone $_"; $q{$2} .= "$p "; } } foreach $l (values %q) {print "$l\n";}' \
- >> $dict_dir/extra_questions.txt || exit 1;
-
-# Add to the lexicon the silences, noises etc.
-(echo '!SIL SIL'; echo '[VOCALIZED-NOISE] SPN'; echo '[NOISE] NSN'; echo '[LAUGHTER] LAU';
- echo '<UNK> SPN' ) | \
- cat - $dict_dir/lexicon1.txt  > $dict_dir/lexicon.txt || exit 1;
-
-echo "$0: aidatatang_200zh dict preparation succeeded"
-exit 0;