Audible TTS reads text aloud from other apps, the clipboard, or from text files. It can get text from applications such as Feedme or K9-Mail, the clipboard (using Copy and Paste), or from files on the MicroSD card. It also reads each sentence using the proper language and voice in mixed texts, without having to select it manually. You must have installed a voice synthesizer (such as PICO or SVOX) and voices for the languages to be used. It currently supports German, English, Spanish, French, Italian, Dutch, Polish, Portuguese, Turkish, Russian, Arabic, Korean, Chinese, and Japanese.
Jipes is a Java library that allows you to efficiently compute audio features. Possible uses for these features are general music information retrieval (MIR) applications or, more specifically, personal music software. Unlike many other digital signal processing (DSP) libraries or frameworks, Jipes is not meant for real time processing of a single audio stream that is manipulated and eventually played back. Instead, it focuses on efficiently executing mutiple processing pipelines that transform a signal into a feature or feature set. Since Jipes focuses on features instead of the raw, untyped signal streams, it supports rich types to be used, where other frameworks only offer arrays of raw data. Also, by using Java generics, many core interfaces and classes can be typed to whatever class you see fit for the purpose. However, Jipes also comes with useful pre-defined types and support for raw arrays.
FFSampledSP is a free implementation of the javax.sound.sampled.spi interfaces. It is part of the SampledSP collection of javax.sound.sampled libraries. Its main purpose is to decode audio from various formats at high speed using FFmpeg. To do so, it uses the tagtraum FFmpeg package, which offers FFmpeg binaries configured to decode audio while avoiding CODECs with patent problems. In other words, it supports formats like Ogg and FLAC well, while leaving MPEG-4 and MP3 unsupported.
CASampledSP is a JNI-based service provider for the javax.sound.sampled.spi interfaces. As such it is capable of decoding many popular audio formats (like mp3 and aac) at native speed taking advantage of Apple's CoreAudio library. The focus is currently on decoding and converting to LPCM, not on writing or exporting.
CT-gui is a touch-friendly GUI toolkit which can be used on the Linux desktop and on Android devices. Development can be done quickly and easily on a Linux box, then ported to an Android tablet or phone. For graphics, only OpenGL or OpenGL ES is used. For audio, ALSA is used for Linux and OpenSL ES for Android. As you might expect, the Android SDK and NDK should be installed on your system. Two demo projects called CT-synth and CT-farfisa are included, which are a polyphonic synthesizer with about 20 built-in patches, and an organ with many sounds. These can be played using the mouse or your fingers, or with an attached MIDI keyboard.
The Kowalski project aims to provide a data driven, lightweight cross platform audio solution. The target audience is developers of games and similar applications where real time audio plays an important role. The Kowalski engine, which is the runtime component, relies only on host-specific external libraries to pass the final output buffers to the audio hardware. All other processing is done in the engine code. Features include positional audio (distance attenuation, cone attenuation, Doppler shift, binaural panning), real time Ogg Vorbis decoding, a powerful mix bus system, and tools to build, validate, and view Kowalski data.
ApplPi is a stochastic noise machine that creates a soothing background noise for those who can't work in complete silence or need to mask distracting noise. It creates sound similar to any noise machine, but it's more musical and harmonic. Additionally, you can control the frequency (note) of the sound and choose from built-in presets of noise/sound.