NormalizerWithAudio error for written digits
**Describe the bug**

See below, the normalization is incorrect for specific regex cases.

**Steps/Code to reproduce bug**

```python
import nemo; nemo.__version__ # '1.9.0rc0'

from nemo_text_processing.text_normalization.normalize_with_audio import (
    NormalizerWithAudio,
)

normalizer = NormalizerWithAudio(input_case="cased")

# SUCCESS
written_text = "01"
spoken_texts = normalizer.normalize(written_text, n_tagged=-1)
print(spoken_texts)
"""
{'oh one', 'zero one'}
"""

# SUCCESS
written_text = "010"
spoken_texts = normalizer.normalize(written_text, n_tagged=-1)
print(spoken_texts)
"""
{'oh one oh', 'oh ten', 'zero one zero', 'zero ten'}
"""

# FAIL
written_text = "0101"
spoken_texts = normalizer.normalize(written_text, n_tagged=-1)
print(spoken_texts)
"""
{'oh one hundred and one',
 'oh one hundred one',
 'oh one oh one', 
 'oh one one', ########### WRONG ###########
 'zero one hundred and one',
 'zero one hundred one',
 'zero one one', ########### WRONG ###########
 'zero one zero one'}
"""

# FAIL
written_text = "101"
spoken_texts = normalizer.normalize(written_text, n_tagged=-1)
print(spoken_texts)
"""
{'one hundred and one',
 'one hundred one',
 'one oh one',
 'one one', ########### WRONG ###########
 'one zero one'}
"""


# FAIL
written_text = "101010"
spoken_texts = normalizer.normalize(written_text, n_tagged=-1)
print(spoken_texts)
"""
{'one hundred one thousand and ten',
 'one hundred one thousand ten',
 'one oh one oh one oh',
 'one one thousand and ten', ########### WRONG ###########
 'one one thousand ten', ########### WRONG ###########
 'one zero one zero one zero'}
"""

# FAIL
written_text = "507"
spoken_texts = normalizer.normalize(written_text, n_tagged=-1)
print(spoken_texts)
"""
{'five hundred and seven',
 'five hundred seven',
 'five oh seven',
 'five seven', ########### WRONG ###########
 'five zero seven'}
"""

# etc.

```

**Expected behavior**

A clear and concise description of what you expected to happen.

**Environment overview (please complete the following information)**

 - Environment location: [Bare-metal, Docker, Cloud(specify cloud provider - AWS, Azure, GCP, Collab)]
 - Method of NeMo install: [pip install or from source]. Please specify exact commands you used to install.
 - If method of install is [Docker], provide `docker pull` & `docker run` commands used

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version
- PyTorch version
- Python version

**Additional context**

Add any other context about the problem here.
Example: GPU model
