Initial commit: FunASR Speech Recognition Toolkit

Add complete FunASR codebase including models, runtime, and documentation.

fun_text_processing/text_normalization/zh/verbalizers/measure.py

@@ -0,0 +1,41 @@
+import pynini
+from fun_text_processing.text_normalization.zh.graph_utils import (
+    FUN_NOT_QUOTE,
+    GraphFst,
+    delete_space,
+)
+from pynini.lib import pynutil
+
+
+class Measure(GraphFst):
+    """
+    tokens { measure { cardinal: "一" } units: "千克" } } ->  一千克
+    """
+
+    def __init__(self, deterministic: bool = True, lm: bool = False):
+        super().__init__(name="measure", kind="verbalize", deterministic=deterministic)
+
+        graph = (
+            pynutil.delete("cardinal {")
+            + delete_space
+            + pynutil.delete('integer: "')
+            + pynini.closure(FUN_NOT_QUOTE)
+            + pynutil.delete('"')
+            + delete_space
+            + pynutil.delete("}")
+            + delete_space
+            + pynutil.delete('units: "')
+            + pynini.closure(FUN_NOT_QUOTE)
+            + pynutil.delete('"')
+        )
+        percent_graph = (
+            pynutil.delete("decimal { ")
+            + pynutil.delete('integer_part: "')
+            + pynutil.insert("百分之")
+            + pynini.closure(FUN_NOT_QUOTE, 1)
+            + pynutil.delete('"')
+            + delete_space
+            + pynutil.delete("}")
+        )
+        graph |= percent_graph
+        self.fst = self.delete_tokens(graph).optimize()