Let's start with the terminologies in your question:
Loudness: The level (amplitude) of the sound. The higher the sound level, the louder it is perceived. Loudness is measured on a dB scale, e.g. dBA (corrected for the human sensitivity across frequencies), dB HL (used in the clinic relative to normal-hearing level) or dB SPL (a more physical approach to sound level). In Figure 1 below an impression is given in dBA (A-weighted sound levels). Don't worry about dB scalings too much. Generally spoken, normal speech is around 65 dB, background noise around 30 dB and the pain threshold around 130 dB (source: OSHA).
Fig. 1. Sound level chart. source: IQ
Frequency: A perfect sine wave has a single frequency. This corresponds to a pure tone. Most normally occurring sounds have multiple frequencies. Frequency determines pitch.
Pitch: Basically determined by the frequency of the sound. The audible frequency range of humans ranges from approximately 20 Hz to 20 kHz (source: LSU). The subjective perception of frequency is called pitch.
Timber: no, no, timber has something to do with wood - it's timbre. Timbre represents 'those subjective qualities of [sounds] not determined by [their] pitch our loudness. It is determined by the frequency spectrum and envelope (envelope is the slow, low-frequency part of the sound that envelopes it) (source: wiki). In terms of sound attenuation/masking/cancellation, it is of not much interest. Likely the timbre can influence the nuisance factor of a sound, but not more.
Direction: acoustically generally defined as azimuth (degrees in horizontal plane) and elevation (degrees in the vertical plane). Also here, in terms of sound attenuation/masking/cancellation, it is of not much interest
White noise: A random signal with a constant power spectral density. It is a discrete signal whose samples are regarded as a sequence of serially uncorrelated random variables with zero mean and finite variance. One may also require that the samples be independent and have the same probability distribution. If each sample has a normal distribution with zero mean, the signal is said to be Gaussian white noise (source: wiki). Subjectively, white noise has a sharp, rather unpleasant hissing quality to it. Check it out at Online Tone Generator.
Pink noise: Pink noise or 1⁄f noise is a signal or process with a frequency spectrum such that the power spectral density [...] is inversely proportional to the frequency of the signal. [E]ach octave [...] carries an equal amount of noise energy. The name arises from the pink appearance of visible light with this power spectrum (source: wiki). Pink noise has much higher low-frequency contribution than white noise, and is therefore more pleasant to the ear. It approaches the sound of rainfall, or that of a waterfall. Pink noise is a better choice when you wish to go to sleep, as it is often experienced as relaxing. Check it out at Online Tone Generator
Brown noise doesn't exist, as far as I know. Brownian noise is what you are after. Brownian noise, or red noise, is the kind of signal noise produced by Brownian motion, hence its alternative name of random walk noise. The term "Brownian noise" comes not from the color, but after Robert Brown, the discoverer of Brownian motion. The term "red noise" comes from the "white noise"/"white light" analogy; red noise is strong in longer wavelengths, similar to the red end of the visible spectrum (source: wiki). It is a much less commonly encountered noise. Check it out at Online Tone Generator
On to your question:
There's basically three things you can do to get rid of pesky sounds:
- Attenuation. This is a typically a passive way of noise reduction, which can be accomplished by blocking the noise with ear plugs, ear muffs, sound-proof walls etc. Ear plugs come in a huge variety, ranging from a couple of foam ear plugs for a few cents per pair to sophisticated ear plugs of hundreds of bucks, to the hand-made, individually tailored plugs available from medical professionals. The latter, obviously, are the best. They are used by professional musicians for example and are made by professionals by making a cast of your outer ear and molding a perfectly fitting shape into it. All these plugs do, however, is dampen the sounds, i.e., lower the sound level. The better ones attenuate sounds with a good many dBs (say 30 to 40 dB) with a 'flat frequency characteristic', meaning they attenuate all audible frequencies in roughly the same way. The cheaper ones attenuate poorly, and worse, often their frequency characteristics show a peak at the higher frequencies and low performance at the low frequencies. This causes bass noises to come straight through (snoring, musical drums etc.). However, even with a rockstar plug of -40dB, you will reduce a siren passing close by with only 40 dB, leaving about 70 dB (depending on the distance from the siren of course).
- Masking. This is an active approach, where you don't attenuate the background noise, but you mask it with a more pleasant sound. White noise is ideal, as it encompasses all audible frequencies. This means that whatever the noise source is, it will be effectively masked by the white noise. The pink noise may, however, be a better candidate, because it is more pleasant to the ear than white noise, as said. At the higher frequencies, pink noise will perform less well than white noise, however, so the ambulance wail will come through relatively loud. Low-frequency noises like snoring are masked well. In fact, pink noise is often used for babies and adults to sleep, because it is a rather pleasant sound. However, to mask a sound with a certain frequency spectrum of 70 dB, you need an equal 'amount' of pink noise in the same frequency band to mask it completely. Since low frequencies are well represented in pink noise, low-frequency sounds of relatively low sound level are masked pretty well, such as snoring, or the pesky bass of the neighbors TV. To block out a siren, or the noise of a full blown house party, you should turn up the pink noise so loud that it simply wouldn't do you any good.
- Cancellation. This is intelligent active sound masking, also called active noise. Here, a device records the surrounding noise with a microphone and a built-in speaker generates sounds reversed in phase with the same amplitude. Theoretically, this perfectly cancels out the noise, whatever the frequency, whatever the level. Protection of a "1-dimension zone" is relatively straightforward and requires only one or two microphones and speakers to be effective. Several commercial applications have been successful, especially the noise-cancelling headphones. The term "1-dimension" refers to a simple pistonic relationship between the noise and the active speaker (mechanical noise reduction) or between the active speaker and the listener (headphones). Cancellation of sounds in a 3D environment becomes challenging (source: wiki).