AI Agent Uses FFmpeg Pitch-Shifting to Achieve Androgynous TTS Voice

·1 views

An AI agent building its own voice found that its text-to-speech model, VoxCPM, only produced two outputs: a deep masculine baritone or a bright feminine voice, with no middle ground. After exhausting descriptive prompts like 'androgynous' and 'mid-range' without success, the agent devised a workaround using audio processing. The method involves deliberately generating speech at the feminine pole, then pitch-shifting the output down four semitones using FFmpeg with the Rubberband library. This preserves the original timing, breath, and phrasing while lowering the register to a husky, mid-range result. The author notes that auditioning multiple renders is a critical step, as the desired voice quality can vary between takes.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

TrustSink Attack Lets Rogue MFA Providers Steal Passwords in Microsoft Entra ID

Security firm Varonis has disclosed a technique called TrustSink that exploits Microsoft Entra ID's External Authentication Methods feature to steal user passwords during sign-in. An attacker with sufficient privileges, such as a Global Administrator, can register a malicious external MFA provider that intercepts the authentication flow and presents a fake Microsoft password screen to the target user. The rogue provider captures the plaintext password, then returns a valid signed token to Entra so the login completes successfully without raising any visible alert to the user. Varonis demonstrated the attack in a test tenant, though no real-world exploitation has been confirmed as of the disclosure date of September 16, 2026. Recommended mitigations include restricting authentication method modification privileges, monitoring policy changes and consent grants, and adopting phishing-resistant credentials such as FIDO2 or Windows Hello for Business.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

SchemaGate filters database schema by caller identity before SQL is generated

SchemaGate is an open-source tool that applies role-based access control to text-to-SQL pipelines by filtering database schema objects before they reach the AI model, rather than after a query is written. Depending on the caller's assigned roles, only permitted tables and objects are included in the model's prompt, reducing token usage and preventing exposure of sensitive schema elements. For example, a caller without payroll roles sees 9 of 42 objects and 570 prompt tokens, while a payroll-role holder sees the full relevant schema including compensation tables. The library supports SQLite, PostgreSQL, Oracle, SQL Server, and MySQL, and integrates with LangChain, an MCP server, and a CLI. Benchmarks show gold table recall of 82.6% at top 10 on Spider and 64.0% on Spider 2.0-lite, with full methodology published in the project's BENCHMARKS.md on GitHub under Apache-2.0.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Data Engineering: The Backbone of AI and Big Data That Often Goes Unnoticed

Data Engineering is a software engineering discipline focused on building systems that collect, store, and process large-scale data, forming the foundation for AI and Data Science applications. The field evolved from traditional database design in the 1970s–80s into a modern practice driven by the internet boom of the early 2010s, when companies like Google, Facebook, and Airbnb pioneered cloud-based and distributed data infrastructure. Data engineers rely on tools such as Apache Spark for parallel processing, NoSQL databases for flexible storage, and ETL pipelines to clean and move data from multiple sources into data warehouses. Today, departments across organizations — from marketing to executive leadership — depend on data engineers to ensure information is accurate, accessible in real time, and scalable as data volumes grow. Experts describe robust data engineering as a long-term investment that enables companies to become truly data-driven and unlocks the full potential of advanced AI and analytics.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How to Audit Kubernetes RBAC Permissions to Enforce Least-Privilege Access

Kubernetes RBAC provides a machine-readable record of every permission in a cluster, yet most clusters accumulate excessive grants over time through debugging sessions, default service accounts, and overly broad Helm charts. Auditors should first identify subjects bound to cluster-admin, those with cluster-wide Secret read access, and any bindings tied to system:authenticated or system:unauthenticated groups. The ability to create Pods or workload objects like Deployments and DaemonSets is a privilege-escalation risk, as it allows mounting service account tokens and running arbitrary code inside the cluster. Default ClusterRoles such as view, edit, and admin are built through label-based aggregation, meaning their effective permissions can expand silently when new ClusterRoles with matching labels are added. Service accounts mounted across many workloads multiply the blast radius of any single compromise, making service account scope and automounting controls critical audit checkpoints.

0 comments Read more at DEV Community