init
Browse files- fetch_dataset_s2s.py +5 -0
- main_s2s.sh +88 -144
fetch_dataset_s2s.py
CHANGED
@@ -43,6 +43,8 @@ hf_org = os.getenv("HF_ORG", "asahi417")
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hf_dataset = f"seamless-align-{direction}"
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skip_download = bool(int(os.getenv("SKIP_DOWNLOAD", 0)))
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sampling_rate = 16000 # seamless-align aligns audio in 16kHz
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def wget(url: str, output_file: Optional[str] = None):
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@@ -131,6 +133,9 @@ def get_audio(dataframe: pd.DataFrame):
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wav = wav[floor(start / sampling_rate * sr):ceil(end / sampling_rate * sr)]
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print(f"wav shape (after truncate):{wav.shape}")
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wav = wav[:int(end/sampling_rate * sr) + sr]
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print(f"SAVING: {features[f'{side}.path']}")
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sf.write(features[f"{side}.path"], wav, sr)
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# if sr != sampling_rate:
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hf_dataset = f"seamless-align-{direction}"
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skip_download = bool(int(os.getenv("SKIP_DOWNLOAD", 0)))
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sampling_rate = 16000 # seamless-align aligns audio in 16kHz
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+
max_seq_length = 1000000
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+
min_seq_length = 50000
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def wget(url: str, output_file: Optional[str] = None):
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wav = wav[floor(start / sampling_rate * sr):ceil(end / sampling_rate * sr)]
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print(f"wav shape (after truncate):{wav.shape}")
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wav = wav[:int(end/sampling_rate * sr) + sr]
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+
if len(wav) < min_seq_length or len(wav) > max_seq_length:
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print(f"invalid wave length: {len(wav)}")
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return None
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print(f"SAVING: {features[f'{side}.path']}")
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sf.write(features[f"{side}.path"], wav, sr)
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# if sr != sampling_rate:
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main_s2s.sh
CHANGED
@@ -18,16 +18,6 @@ do
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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done
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-
for i in $(seq 443 500);
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do
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-
export N_POOL=15
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-
export DATASET_ID=${i}
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-
export DIRECTION="enA-frA"
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-
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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-
export LINE_NO_END=$((DATASET_ID * 2500))
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-
echo ${LINE_NO_START}
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-
python fetch_dataset_s2s.py
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-
done
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for i in $(seq 519 550);
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do
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export N_POOL=15
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@@ -90,25 +80,35 @@ do
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python tokenize_dataset_s2s.py
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done
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# speaker embedding
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-
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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python attach_speaker_embedding_s2s.py
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done
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-
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-
for i in $(seq 106 425);
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do
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-
export N_POOL=15
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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-
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-
export LINE_NO_END=$((DATASET_ID * 2500))
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-
echo ${LINE_NO_START}
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python tokenize_dataset_s2s.py
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done
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-
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-
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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@@ -117,162 +117,167 @@ done
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######################
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-
# enA-
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######################
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# test
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export DATASET_ID=test
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-
export DIRECTION="
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export LINE_NO_START=0
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export LINE_NO_END=10
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python fetch_dataset_s2s.py
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# main
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-
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export DIRECTION="
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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done
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-
for i in $(seq
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export DIRECTION="
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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done
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-
for i in $(seq
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export DIRECTION="
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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done
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# tokenize
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-
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-
#do
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# export N_POOL=15
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# export DATASET_ID=${i}
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-
# export DIRECTION="deA-enA"
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-
# export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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-
# export LINE_NO_END=$((DATASET_ID * 2500))
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-
# echo ${LINE_NO_START}
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-
# python tokenize_dataset_s2s.py
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-
#done
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-
for i in $(seq 105 180);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export DIRECTION="
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python tokenize_dataset_s2s.py
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done
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# speaker embedding
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-
for i in $(seq
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do
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export DATASET_ID=${i}
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-
export DIRECTION="
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python attach_speaker_embedding_s2s.py
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done
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-
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-
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do
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export DATASET_ID=${i}
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-
export DIRECTION="
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python attach_speaker_embedding_s2s.py
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done
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######################
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-
# enA-
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######################
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# test
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export DATASET_ID=test
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-
export DIRECTION="enA
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export LINE_NO_START=0
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export LINE_NO_END=10
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python fetch_dataset_s2s.py
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# main
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-
for i in $(seq
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do
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-
export N_POOL=15
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-
export DATASET_ID=${i}
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-
export DIRECTION="enA-esA"
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-
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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-
export LINE_NO_END=$((DATASET_ID * 2500))
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-
echo ${LINE_NO_START}
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-
python fetch_dataset_s2s.py
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-
done
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-
for i in $(seq 220 250);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export DIRECTION="enA
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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done
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-
for i in $(seq
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export DIRECTION="enA
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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done
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-
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export DIRECTION="enA
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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-
python
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done
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-
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-
for i in $(seq 1 50);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export DIRECTION="enA
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python tokenize_dataset_s2s.py
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done
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# speaker embedding
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-
for i in $(seq
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do
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export DATASET_ID=${i}
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-
export DIRECTION="enA
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python attach_speaker_embedding_s2s.py
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done
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-
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-
export SE_MODEL="w2vbert-600m"
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-
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-
export SE_MODEL="hubert-xl"
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-
export SE_MODEL="metavoice"
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-
for i in $(seq 26 125);
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do
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export DATASET_ID=${i}
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-
export DIRECTION="enA
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python attach_speaker_embedding_s2s.py
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done
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####################
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# enA-koA: 511_358 #
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####################
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@@ -294,7 +299,7 @@ do
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python fetch_dataset_s2s.py
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done
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# tokenize
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-
for i in $(seq
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do
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export N_POOL=15
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export DATASET_ID=${i}
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@@ -306,31 +311,8 @@ do
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done
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# speaker embedding
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export SE_MODEL="metavoice"
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-
export SE_MODEL="w2vbert-600m"
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-
export SE_MODEL="xlsr-2b"
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-
export SE_MODEL="hubert-xl"
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-
for i in $(seq 1 90);
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-
do
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-
export DATASET_ID=${i}
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-
export DIRECTION="enA-koA"
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python attach_speaker_embedding_s2s.py
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-
done
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-
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-
export SE_MODEL="metavoice"
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-
for i in 65 50;
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-
do
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export DATASET_ID=${i}
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-
export DIRECTION="enA-koA"
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-
python attach_speaker_embedding_s2s.py
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-
done
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-
for i in $(seq 90 98);
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-
do
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-
export DATASET_ID=${i}
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-
export DIRECTION="enA-koA"
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python attach_speaker_embedding_s2s.py
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-
done
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-
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-
# todo
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export SE_MODEL="hubert-xl"
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for i in $(seq 1 100);
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do
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@@ -339,20 +321,6 @@ do
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python attach_speaker_embedding_s2s.py
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done
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-
export SE_MODEL="w2vbert-600m"
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-
export DATASET_ID=34
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export DIRECTION="enA-koA"
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-
python attach_speaker_embedding_s2s.py
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-
export DATASET_ID=49
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export DIRECTION="enA-koA"
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-
python attach_speaker_embedding_s2s.py
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export SE_MODEL="xlsr-2b"
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-
export DATASET_ID=49
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-
export DIRECTION="enA-koA"
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-
python attach_speaker_embedding_s2s.py
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-
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-
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-
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######################
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# enA-zhA: 1_289_192 #
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######################
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@@ -387,8 +355,8 @@ done
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# speaker embedding
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export SE_MODEL="metavoice"
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export SE_MODEL="w2vbert-600m"
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-
export SE_MODEL="hubert-xl"
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-
export SE_MODEL="xlsr-2b"
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for i in $(seq 1 258);
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do
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export DATASET_ID=${i}
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@@ -396,30 +364,6 @@ do
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python attach_speaker_embedding_s2s.py
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done
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-
for i in 162 163 164 165 175 83 84;
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do
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export SE_MODEL="xlsr-2b" # running
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-
export DIRECTION="enA-zhA"
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-
python attach_speaker_embedding_s2s.py
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-
done
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-
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406 |
-
for i in 49 34;
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-
do
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-
export SE_MODEL="w2vbert-600m"
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-
export DATASET_ID=${i}
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-
export DIRECTION="enA-koA"
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-
python attach_speaker_embedding_s2s.py
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-
done
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-
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-
for i in 34 81 49 50 21;
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-
do
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-
export SE_MODEL="xlsr-2b"
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-
export DATASET_ID=${i}
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-
export DIRECTION="enA-koA"
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419 |
-
python attach_speaker_embedding_s2s.py
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420 |
-
done
|
421 |
-
|
422 |
-
|
423 |
####################
|
424 |
# enA-jaA: 718_606 #
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####################
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@@ -451,7 +395,7 @@ done
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export SE_MODEL="metavoice"
|
452 |
export SE_MODEL="w2vbert-600m"
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export SE_MODEL="hubert-xl"
|
454 |
-
export SE_MODEL="xlsr-2b"
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455 |
for i in $(seq 1 144);
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do
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export DATASET_ID=${i}
|
@@ -529,7 +473,7 @@ done
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529 |
export SE_MODEL="metavoice"
|
530 |
export SE_MODEL="w2vbert-600m"
|
531 |
export SE_MODEL="hubert-xl"
|
532 |
-
export SE_MODEL="xlsr-2b"
|
533 |
for i in $(seq 1 91);
|
534 |
do
|
535 |
export DATASET_ID=${i}
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|
18 |
echo ${LINE_NO_START}
|
19 |
python fetch_dataset_s2s.py
|
20 |
done
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for i in $(seq 519 550);
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do
|
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export N_POOL=15
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|
80 |
python tokenize_dataset_s2s.py
|
81 |
done
|
82 |
# speaker embedding
|
83 |
+
export SE_MODEL="metavoice"
|
84 |
+
export SE_MODEL="hubert-xl" # running
|
85 |
+
export SE_MODEL="xlsr-2b" # running
|
86 |
+
export SE_MODEL="w2vbert-600m" # running
|
87 |
+
for i in $(seq 1 140);
|
88 |
do
|
89 |
export DATASET_ID=${i}
|
90 |
export DIRECTION="enA-frA"
|
91 |
python attach_speaker_embedding_s2s.py
|
92 |
done
|
93 |
+
for i in $(seq 200 240);
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|
94 |
do
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|
95 |
export DATASET_ID=${i}
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96 |
export DIRECTION="enA-frA"
|
97 |
+
python attach_speaker_embedding_s2s.py
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|
98 |
done
|
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+
for i in $(seq 300 380);
|
100 |
+
do
|
101 |
+
export DATASET_ID=${i}
|
102 |
+
export DIRECTION="enA-frA"
|
103 |
+
python attach_speaker_embedding_s2s.py
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104 |
+
done
|
105 |
+
for i in $(seq 400 460);
|
106 |
+
do
|
107 |
+
export DATASET_ID=${i}
|
108 |
+
export DIRECTION="enA-frA"
|
109 |
+
python attach_speaker_embedding_s2s.py
|
110 |
+
done
|
111 |
+
for i in $(seq 500 570);
|
112 |
do
|
113 |
export DATASET_ID=${i}
|
114 |
export DIRECTION="enA-frA"
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|
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|
118 |
|
119 |
######################
|
120 |
+
# enA-esA: 2_658_022 #
|
121 |
######################
|
122 |
# test
|
123 |
export DATASET_ID=test
|
124 |
+
export DIRECTION="enA-esA"
|
125 |
export LINE_NO_START=0
|
126 |
export LINE_NO_END=10
|
127 |
python fetch_dataset_s2s.py
|
128 |
# main
|
129 |
+
export N_POOL=15
|
130 |
+
export DATASET_ID=54
|
131 |
+
export DIRECTION="enA-esA"
|
132 |
+
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
133 |
+
export LINE_NO_END=$((DATASET_ID * 2500))
|
134 |
+
echo ${LINE_NO_START}
|
135 |
+
python fetch_dataset_s2s.py
|
136 |
+
for i in $(seq 210 219);
|
137 |
do
|
138 |
export N_POOL=15
|
139 |
export DATASET_ID=${i}
|
140 |
+
export DIRECTION="enA-esA"
|
141 |
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
142 |
export LINE_NO_END=$((DATASET_ID * 2500))
|
143 |
echo ${LINE_NO_START}
|
144 |
python fetch_dataset_s2s.py
|
145 |
done
|
146 |
+
for i in $(seq 245 250);
|
147 |
do
|
148 |
export N_POOL=15
|
149 |
export DATASET_ID=${i}
|
150 |
+
export DIRECTION="enA-esA"
|
151 |
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
152 |
export LINE_NO_END=$((DATASET_ID * 2500))
|
153 |
echo ${LINE_NO_START}
|
154 |
python fetch_dataset_s2s.py
|
155 |
done
|
156 |
+
for i in $(seq 345 390);
|
157 |
do
|
158 |
export N_POOL=15
|
159 |
export DATASET_ID=${i}
|
160 |
+
export DIRECTION="enA-esA"
|
161 |
+
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
162 |
+
export LINE_NO_END=$((DATASET_ID * 2500))
|
163 |
+
echo ${LINE_NO_START}
|
164 |
+
python fetch_dataset_s2s.py
|
165 |
+
done
|
166 |
+
for i in $(seq 390 420);
|
167 |
+
do
|
168 |
+
export N_POOL=15
|
169 |
+
export DATASET_ID=${i}
|
170 |
+
export DIRECTION="enA-esA"
|
171 |
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
172 |
export LINE_NO_END=$((DATASET_ID * 2500))
|
173 |
echo ${LINE_NO_START}
|
174 |
python fetch_dataset_s2s.py
|
175 |
done
|
176 |
# tokenize
|
177 |
+
for i in $(seq 51 210);
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
178 |
do
|
179 |
export N_POOL=15
|
180 |
export DATASET_ID=${i}
|
181 |
+
export DIRECTION="enA-esA"
|
182 |
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
183 |
export LINE_NO_END=$((DATASET_ID * 2500))
|
184 |
echo ${LINE_NO_START}
|
185 |
python tokenize_dataset_s2s.py
|
186 |
done
|
187 |
# speaker embedding
|
188 |
+
for i in $(seq 251 280);
|
189 |
do
|
190 |
export DATASET_ID=${i}
|
191 |
+
export DIRECTION="enA-esA"
|
192 |
python attach_speaker_embedding_s2s.py
|
193 |
done
|
194 |
+
|
195 |
+
export SE_MODEL="w2vbert-600m" # running
|
196 |
+
export SE_MODEL="xlsr-2b" # running
|
197 |
+
export SE_MODEL="hubert-xl"
|
198 |
+
export SE_MODEL="metavoice"
|
199 |
+
for i in $(seq 26 125);
|
200 |
do
|
201 |
export DATASET_ID=${i}
|
202 |
+
export DIRECTION="enA-esA"
|
203 |
python attach_speaker_embedding_s2s.py
|
204 |
done
|
205 |
+
|
206 |
+
|
207 |
+
|
208 |
+
|
209 |
######################
|
210 |
+
# enA-deA: 1_965_186 #
|
211 |
######################
|
212 |
# test
|
213 |
export DATASET_ID=test
|
214 |
+
export DIRECTION="deA-enA"
|
215 |
export LINE_NO_START=0
|
216 |
export LINE_NO_END=10
|
217 |
python fetch_dataset_s2s.py
|
218 |
# main
|
219 |
+
for i in $(seq 201 394);
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
220 |
do
|
221 |
export N_POOL=15
|
222 |
export DATASET_ID=${i}
|
223 |
+
export DIRECTION="deA-enA"
|
224 |
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
225 |
export LINE_NO_END=$((DATASET_ID * 2500))
|
226 |
echo ${LINE_NO_START}
|
227 |
python fetch_dataset_s2s.py
|
228 |
done
|
229 |
+
for i in $(seq 321 353);
|
230 |
do
|
231 |
export N_POOL=15
|
232 |
export DATASET_ID=${i}
|
233 |
+
export DIRECTION="deA-enA"
|
234 |
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
235 |
export LINE_NO_END=$((DATASET_ID * 2500))
|
236 |
echo ${LINE_NO_START}
|
237 |
python fetch_dataset_s2s.py
|
238 |
done
|
239 |
+
# tokenize
|
240 |
+
for i in $(seq 195 200);
|
241 |
do
|
242 |
export N_POOL=15
|
243 |
export DATASET_ID=${i}
|
244 |
+
export DIRECTION="deA-enA"
|
245 |
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
246 |
export LINE_NO_END=$((DATASET_ID * 2500))
|
247 |
echo ${LINE_NO_START}
|
248 |
+
python tokenize_dataset_s2s.py
|
249 |
done
|
250 |
+
for i in $(seq 73 91);
|
|
|
251 |
do
|
252 |
export N_POOL=15
|
253 |
export DATASET_ID=${i}
|
254 |
+
export DIRECTION="deA-enA"
|
255 |
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
256 |
export LINE_NO_END=$((DATASET_ID * 2500))
|
257 |
echo ${LINE_NO_START}
|
258 |
python tokenize_dataset_s2s.py
|
259 |
done
|
260 |
# speaker embedding
|
261 |
+
for i in $(seq 28 104);
|
262 |
do
|
263 |
export DATASET_ID=${i}
|
264 |
+
export DIRECTION="deA-enA"
|
265 |
python attach_speaker_embedding_s2s.py
|
266 |
done
|
267 |
+
# speaker embedding
|
268 |
+
export SE_MODEL="w2vbert-600m"
|
269 |
+
for i in $(seq 1 320);
|
|
|
|
|
|
|
270 |
do
|
271 |
export DATASET_ID=${i}
|
272 |
+
export DIRECTION="deA-enA"
|
273 |
python attach_speaker_embedding_s2s.py
|
274 |
done
|
275 |
|
276 |
|
277 |
|
278 |
+
|
279 |
+
|
280 |
+
|
281 |
####################
|
282 |
# enA-koA: 511_358 #
|
283 |
####################
|
|
|
299 |
python fetch_dataset_s2s.py
|
300 |
done
|
301 |
# tokenize
|
302 |
+
for i in $(seq 1 100);
|
303 |
do
|
304 |
export N_POOL=15
|
305 |
export DATASET_ID=${i}
|
|
|
311 |
done
|
312 |
# speaker embedding
|
313 |
export SE_MODEL="metavoice"
|
314 |
+
export SE_MODEL="w2vbert-600m"
|
315 |
+
export SE_MODEL="xlsr-2b"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
316 |
export SE_MODEL="hubert-xl"
|
317 |
for i in $(seq 1 100);
|
318 |
do
|
|
|
321 |
python attach_speaker_embedding_s2s.py
|
322 |
done
|
323 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
324 |
######################
|
325 |
# enA-zhA: 1_289_192 #
|
326 |
######################
|
|
|
355 |
# speaker embedding
|
356 |
export SE_MODEL="metavoice"
|
357 |
export SE_MODEL="w2vbert-600m"
|
358 |
+
export SE_MODEL="hubert-xl"
|
359 |
+
export SE_MODEL="xlsr-2b"
|
360 |
for i in $(seq 1 258);
|
361 |
do
|
362 |
export DATASET_ID=${i}
|
|
|
364 |
python attach_speaker_embedding_s2s.py
|
365 |
done
|
366 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
367 |
####################
|
368 |
# enA-jaA: 718_606 #
|
369 |
####################
|
|
|
395 |
export SE_MODEL="metavoice"
|
396 |
export SE_MODEL="w2vbert-600m"
|
397 |
export SE_MODEL="hubert-xl"
|
398 |
+
export SE_MODEL="xlsr-2b"
|
399 |
for i in $(seq 1 144);
|
400 |
do
|
401 |
export DATASET_ID=${i}
|
|
|
473 |
export SE_MODEL="metavoice"
|
474 |
export SE_MODEL="w2vbert-600m"
|
475 |
export SE_MODEL="hubert-xl"
|
476 |
+
export SE_MODEL="xlsr-2b"
|
477 |
for i in $(seq 1 91);
|
478 |
do
|
479 |
export DATASET_ID=${i}
|