Website updates

CHANGELOG.md

@@ -6,6 +6,14 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [v1.0.1] - 2026-01-07
+
+### Changed
+- Updated project links in web app and README
+
+### Added
+- Added best TIMIT model fine-tuned on Buckeye to model list in web app
+
 ## [v1.0.0] - 2025-12-16
 
 ### Added

README.md

@@ -2,11 +2,11 @@
 
 Automatically transcribe audio into the International Phonetic Alphabet (IPA) and perform forced alignment. This toolkit includes a command line interface, comparison tools, and interactive web tool.
 
-The AutoIPA project is a collaboration between Virginia Partridge of the UMass Center for Data Science and Artificial
+The Wav2IPA project is a collaboration between Virginia Partridge of the UMass Center for Data Science and Artificial
 Intelligence and Joe Pater of UMass Linguistics. Its goal is to make automated IPA transcription more useful
 to linguists (and others!).
 Please reach out to us if you have any questions or comments about our work or have related work to share!
-More details are on our [project website](https://websites.umass.edu/comphon/autoipa-automated-ipa-transcription/).
+More details are on our [project website](https://websites.umass.edu/comphon/wav2ipa-automated-ipa-transcription/).
 
 If you use our software, please cite our AMP paper:
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "autoipaalign"
-version = "1.0.0"
+version = "1.0.1"
 description = "Automatic IPA alignment workspace with CLI, comparison tools, and web interface"
 requires-python = ">=3.10,<3.14"
 readme = "README.md"

src/autoipaalign/web/app.py

@@ -13,7 +13,7 @@
 TEXTGRID_DOWNLOAD_TEXT = "Download TextGrid file"
 TEXTGRID_NAME_INPUT_LABEL = "TextGrid file name"
 
-TITLE = "AutoIPA: Automated IPA transcription"
+TITLE = "Wav2IPA: Automated IPA transcription"
 
 INTRO_BLOCK = f"""# {TITLE}
 Experiment with producing
@@ -26,7 +26,7 @@
 Our first step was to fine-tune a Wav2Vec 2.0 model on the Buckeye corpus, which you can try out here.
 Our next steps will be to extend our work to other varieties of English and other languages.
 Please reach out to us if you have any questions or comments about our work or have related work to share!
-More details are on our [project website](https://websites.umass.edu/comphon/autoipa-automated-ipa-transcription/).
+More details are on our [project website](https://websites.umass.edu/comphon/wav2ipa-automated-ipa-transcription/).
 
 If you use our software, please cite our AMP paper:
 Partridge, Virginia, Joe Pater, Parth Bhangla, Ali Nirheche and Brandon Prickett. 2025/to appear. [AI-assisted analysis of phonological variation in English](https://docs.google.com/presentation/d/1IJrfokvX5T_fKkiFXmcYEgRI2ZRwgFU4zU1tNC-iYl0/edit?usp=sharing). Special session on Deep Phonology, AMP 2025, UC Berkeley. To appear in the Proceedings of AMP 2025.
@@ -52,6 +52,7 @@
     "ctaguchi/wav2vec2-large-xlsr-japlmthufielta-ipa1000-ns",
     "excalibur12/wav2vec2-large-lv60_phoneme-timit_english_timit-4k",
     "excalibur12/wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified",
+    "ginic/wav2vec2-large-lv60_phoneme-timit_english_timit-4k_buckeye-4k_bs32_3",
     "ginic/full_dataset_train_1_wav2vec2-large-xlsr-53-buckeye-ipa",
     "ginic/full_dataset_train_2_wav2vec2-large-xlsr-53-buckeye-ipa",
     "ginic/full_dataset_train_3_wav2vec2-large-xlsr-53-buckeye-ipa",
@@ -240,7 +241,7 @@ def launch_demo():
             VALID_MODELS,
             value=DEFAULT_MODEL,
             label="IPA transcription ASR model",
-            info="Select the model to use for prediction.",
+            info="Select the model to use for prediction. For details about each one, visit its model page on the HuggingFace Hub",
         )
 
         # Dropdown for transcription type selection