Update: 03-02-2025

Author: cldocid2

.build.yaml

@@ -1,4 +1,5 @@
 includes:
   - https://github.ibm.com/cloud-docs/watson
   - https://github.ibm.com/cloud-docs/overview
-  - https://github.ibm.com/cloud-docs/account
+  - https://github.ibm.com/cloud-docs/account
+  - https://github.ibm.com/cloud-docs/vpc

data-security.md

@@ -1,8 +1,8 @@
 ---
 
 copyright:
-  years: 2022, 2023
-lastupdated: "2023-02-23"
+  years: 2022, 2025
+lastupdated: "2025-02-03"
 
 subcollection: speech-to-text
 
@@ -39,7 +39,7 @@ The service provides security for all user data both in motion and at rest:
 -   Transport Layer Security (TLS) 1.2 is used to secure data in transit.
 -   Advanced Encryption Standard (AES)-256 with Secure Hash Algorithm (SHA)-256 is used to secure data at rest.
 
-For more information about data security for cloud applications, see [Security architecture for cloud applications](https://www.ibm.com/topics/data-security){: external}.
+For more information about data security for cloud applications, see [Security architecture for cloud applications](https://www.ibm.com/think/topics/data-security){: external}.
 
 ## Information security
 {: #data-security-info-security}
@@ -79,7 +79,7 @@ The service's Plus and Premium pricing plans offer different levels of data sepa
 -   Plus plans are multi-tenant solutions that provide logical separation of data by using common encryption keys.
 -   Premium plans are single-tenant solutions that provide physical separation of data. Premium plans provide dedicated data storage accounts that use unique encryption keys.
 
-Users of Premium plans can also integrate with {{site.data.keyword.keymanagementservicefull}} to create, import, and manage their encryption keys. This process is commonly referred to as *Bring your own keys* (BYOK). For more information about using {{site.data.keyword.keymanagementservicefull}}, see [Protecting sensitive information in your Watson service](/docs/speech-to-text?topic=speech-to-text-keyservice).
+Users of Premium plans can also integrate with {{site.data.keyword.keymanagementservicefull}} to create, import, and manage their encryption keys. This process is commonly referred to as *Bring your own keys* (BYOK). For more information about using {{site.data.keyword.keymanagementservicefull}}, see [Protecting sensitive information in your Watson service](/docs/speech-to-text?topic=speech-to-text-getting-started-keyservice).
 
 ## Network endpoints
 {: #data-security-network-endpoints}

release-notes.md

@@ -1,8 +1,8 @@
 ---
 
 copyright:
-  years: 2015, 2023
-lastupdated: "2024-09-26"
+  years: 2015, 2025
+lastupdated: "2025-02-03"
 
 keywords: speech to text release notes,speech to text for IBM cloud release notes
 
@@ -1179,7 +1179,7 @@ New network and data security features available
         Users of Premium plans can create private network endpoints to connect to the {{site.data.keyword.speechtotextshort}} service over a private network. Connections to private network endpoints do not require public internet access. For more information, see [Public and private network endpoints](/docs/speech-to-text?topic=speech-to-text-public-private-endpoints).
     -   *Support for data encryption with customer-managed keys*
 
-        Users of new Premium and Dedicated instances can integrate {{site.data.keyword.keymanagementservicefull}} with the {{site.data.keyword.speechtotextshort}} service to encrypt your data and manage encryption keys. For more information, see [Protecting sensitive information in your Watson service](/docs/speech-to-text?topic=speech-to-text-keyservice).
+        Users of new Premium and Dedicated instances can integrate {{site.data.keyword.keymanagementservicefull}} with the {{site.data.keyword.speechtotextshort}} service to encrypt your data and manage encryption keys. For more information, see [Protecting sensitive information in your Watson service](/docs/speech-to-text?topic=speech-to-text-getting-started-keyservice).
 
 ## 10 December 2019
 {: #speech-to-text-10december2019}

science.md

@@ -1,8 +1,8 @@
 ---
 
 copyright:
-  years: 2015, 2020
-lastupdated: "2020-07-29"
+  years: 2015, 2025
+lastupdated: "2025-02-03"
 
 subcollection: speech-to-text
 
@@ -13,7 +13,7 @@ subcollection: speech-to-text
 # The science behind the service
 {: #science}
 
-As [Pioneering Speech Recognition](https://www.ibm.com/ibm/history/ibm100/us/en/icons/speechreco/){: external} describes, {{site.data.keyword.IBM}} has been at the forefront of speech recognition research since the early 1960s. For example, [Bahl, Jelinek, and Mercer (1983)](/docs/speech-to-text?topic=speech-to-text-references#bahl1983) describes the basic mathematical approach to speech recognition that is employed in essentially all modern speech recognition systems. And [Jelinek (1985)](/docs/speech-to-text?topic=speech-to-text-references#jelinek1985) describes the creation of the first real-time large vocabulary speech recognition system for dictation. This paper also describes problems that are still unsolved research topics today.
+{{site.data.keyword.IBM}} has been at the forefront of speech recognition research since the early 1960s. For example, [Bahl, Jelinek, and Mercer (1983)](/docs/speech-to-text?topic=speech-to-text-references#bahl1983) describes the basic mathematical approach to speech recognition that is employed in essentially all modern speech recognition systems. And [Jelinek (1985)](/docs/speech-to-text?topic=speech-to-text-references#jelinek1985) describes the creation of the first real-time large vocabulary speech recognition system for dictation. This paper also describes problems that are still unsolved research topics today.
 {: shortdesc}
 
 {{site.data.keyword.IBM_notm}} continues this rich tradition of research and development with the {{site.data.keyword.speechtotextfull}} service. {{site.data.keyword.IBM_notm}} has demonstrated industry-record speech recognition accuracy on the public benchmark data sets for Conversational Telephone Speech (CTS) ([Saon and others, 2017](/docs/speech-to-text?topic=speech-to-text-references#saon2017)) and Broadcast News (BN) transcription ([Thomas and others, 2019](/docs/speech-to-text?topic=speech-to-text-references#thomas2019)). {{site.data.keyword.IBM_notm}} leveraged neural networks for language modeling ([Kurata and others, 2017a](/docs/speech-to-text?topic=speech-to-text-references#kurata2017a), and [Kurata and others, 2017b](/docs/speech-to-text?topic=speech-to-text-references#kurata2017a)), in addition to demonstrating the effectiveness of acoustic modeling.