Merge branch 'develop' into patch-13

examples/other/g2p/get_g2p_data.py

@@ -32,7 +32,7 @@ def get_baker_data(root_dir):
             alignment_fp, includeEmptyIntervals=True)
         # only with baker's annotation
         utt_id = alignment.tierNameList[0].split(".")[0]
-        intervals = alignment.tierDict[alignment.tierNameList[0]].entryList
+        intervals = alignment.getTier(alignment.tierNameList[0]).entries
         phones = []
         for interval in intervals:
             label = interval.label

paddlespeech/server/restful/request.py

@@ -65,7 +65,7 @@ class TTSRequest(BaseModel):
     speed: float = 1.0
     volume: float = 1.0
     sample_rate: int = 0
-    save_path: str = None
+    save_path: Optional[str] = None
 
 
 #****************************************************************************************/

paddlespeech/server/restful/response.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from typing import List
+from typing import Optional
 
 from pydantic import BaseModel
 
@@ -62,7 +63,7 @@ class TTSResult(BaseModel):
     volume: float = 1.0
     sample_rate: int
     duration: float
-    save_path: str = None
+    save_path: Optional[str] = None
     audio: str
 
 

paddlespeech/t2s/exps/ernie_sat/align.py

@@ -41,11 +41,11 @@ def _readtg(tg_path: str, lang: str='en', fs: int=24000, n_shift: int=300):
     ends = []
     words = []
 
-    for interval in alignment.tierDict['words'].entryList:
+    for interval in alignment.getTier('words').entries:
         word = interval.label
         if word:
             words.append(word)
-    for interval in alignment.tierDict['phones'].entryList:
+    for interval in alignment.getTier('phones').entries:
         phone = interval.label
         phones.append(phone)
         ends.append(interval.end)

setup.py

@@ -51,6 +51,26 @@ def determine_opencc_version():
     return "opencc"  # default
 
 
+def determine_scipy_version():
+    # get python version
+    python_version = f"{sys.version_info.major}.{sys.version_info.minor}"
+
+    # determine scipy version
+    if python_version == "3.8":
+        return "scipy>=1.4.0, <=1.12.0"  # Python3.8 need scipy>=1.4.0, <=1.12.0
+    return "scipy"  # default
+
+
+def determine_matplotlib_version():
+    # get python version
+    python_version = f"{sys.version_info.major}.{sys.version_info.minor}"
+
+    # determine matplotlib version
+    if python_version == "3.8" or python_version == "3.9":
+        return "matplotlib<=3.8.4"  # Python3.8/9 need matplotlib<=3.8.4
+    return "matplotlib"  # default
+
+
 base = [
     "braceexpand",
     "editdistance",
@@ -63,9 +83,9 @@ base = [
     # paddleaudio align with librosa==0.8.1, which need numpy==1.23.x
     "numpy==1.23.5",
     "librosa==0.8.1",
-    "scipy>=1.4.0, <=1.12.0",
+    determine_scipy_version(),  # scipy or scipy>=1.4.0, <=1.12.0
     "loguru",
-    "matplotlib<=3.8.4",
+    determine_matplotlib_version(),  # matplotlib or matplotlib<=3.8.4
     "nara_wpe",
     "onnxruntime>=1.11.0",
     determine_opencc_version(),  # opencc or opencc==1.1.6
@@ -76,9 +96,9 @@ base = [
     "paddleslim>=2.3.4",
     "ppdiffusers>=0.9.0",
     "paddlespeech_feat",
-    "praatio>=5.0.0, <=5.1.1",
+    "praatio>=6.0.0",
     "prettytable",
-    "pydantic>=1.10.14, <2.0",
+    "pydantic",
     "pypinyin",
     "pypinyin-dict",
     "python-dateutil",
@@ -92,7 +112,7 @@ base = [
     "ToJyutping",
     "typeguard",
     "webrtcvad",
-    "yacs~=0.1.8",
+    "yacs>=0.1.8",
     "zhon",
 ]
 

tests/unit/tts/test_pwg.py

@@ -14,16 +14,16 @@
 import paddle
 import torch
 from paddle.device.cuda import synchronize
+from parallel_wavegan import models as pwgan
 from parallel_wavegan.layers import residual_block
 from parallel_wavegan.layers import upsample
-from parallel_wavegan.models import parallel_wavegan as pwgan
 from timer import timer
 
 from paddlespeech.t2s.models.parallel_wavegan import ConvInUpsampleNet
 from paddlespeech.t2s.models.parallel_wavegan import PWGDiscriminator
 from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
-from paddlespeech.t2s.models.parallel_wavegan import ResidualBlock
 from paddlespeech.t2s.models.parallel_wavegan import ResidualPWGDiscriminator
+from paddlespeech.t2s.modules.residual_block import WaveNetResidualBlock
 from paddlespeech.t2s.utils.layer_tools import summary
 
 paddle.set_device("gpu:0")
@@ -79,8 +79,8 @@ def test_convin_upsample_net():
 
 
 def test_residual_block():
-    net = ResidualBlock(dilation=9)
-    net2 = residual_block.ResidualBlock(dilation=9)
+    net = WaveNetResidualBlock(dilation=9)
+    net2 = residual_block.WaveNetResidualBlock(dilation=9)
     summary(net)
     summary(net2)
     for k, v in net2.named_parameters():

utils/gen_duration_from_textgrid.py

@@ -26,7 +26,7 @@ def readtg(tg_path, sample_rate=24000, n_shift=300):
     alignment = textgrid.openTextgrid(tg_path, includeEmptyIntervals=True)
     phones = []
     ends = []
-    for interval in alignment.tierDict["phones"].entryList:
+    for interval in alignment.getTier("phones").entries:
         phone = interval.label
         phones.append(phone)
         ends.append(interval.end)